Triple
T13594828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Douglas |
E324788
|
entity |
| Predicate | notableFact |
P8229
|
FINISHED |
| Object |
had an early breakout role on the television series "The Streets of San Francisco"
Michael Douglas is an acclaimed American actor and producer known for his versatile film career, including roles in movies like "Wall Street," "Fatal Attraction," and "Basic Instinct," as well as for winning multiple Academy Awards.
|
E1048397
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: had an early breakout role on the television series "The Streets of San Francisco" | Statement: [Michael Douglas, notableFact, had an early breakout role on the television series "The Streets of San Francisco"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: had an early breakout role on the television series "The Streets of San Francisco" Context triple: [Michael Douglas, notableFact, had an early breakout role on the television series "The Streets of San Francisco"]
-
A.
Lynn Bracken in L.A. Confidential
Lynn Bracken in L.A. Confidential is a glamorous high-class call girl modeled after Veronica Lake who becomes romantically involved with a troubled detective amid a web of corruption in 1950s Los Angeles.
-
B.
film "Streets"
"Streets" is a crime drama film featuring rapper and actor Beanie Sigel in a gritty urban setting.
-
C.
Private: The San Francisco Story
Private: The San Francisco Story is an adult film production set in San Francisco, released by the European adult entertainment studio Private as part of its spin-off series.
-
D.
City Controller of San Francisco
The City Controller of San Francisco is the chief financial officer and auditor for the city and county, responsible for overseeing budgeting, financial reporting, and fiscal integrity of local government operations.
-
E.
TV series "Moonlighting"
TV series "Moonlighting" is a 1980s American comedy-drama and detective show starring Bruce Willis and Cybill Shepherd, known for its witty dialogue, breaking the fourth wall, and blending romance with mystery.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: had an early breakout role on the television series "The Streets of San Francisco" Triple: [Michael Douglas, notableFact, had an early breakout role on the television series "The Streets of San Francisco"]
Generated description
Michael Douglas is an acclaimed American actor and producer known for his versatile film career, including roles in movies like "Wall Street," "Fatal Attraction," and "Basic Instinct," as well as for winning multiple Academy Awards.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: had an early breakout role on the television series "The Streets of San Francisco" Target entity description: Michael Douglas is an acclaimed American actor and producer known for his versatile film career, including roles in movies like "Wall Street," "Fatal Attraction," and "Basic Instinct," as well as for winning multiple Academy Awards.
-
A.
Lynn Bracken in L.A. Confidential
Lynn Bracken in L.A. Confidential is a glamorous high-class call girl modeled after Veronica Lake who becomes romantically involved with a troubled detective amid a web of corruption in 1950s Los Angeles.
-
B.
film "Streets"
"Streets" is a crime drama film featuring rapper and actor Beanie Sigel in a gritty urban setting.
-
C.
Private: The San Francisco Story
Private: The San Francisco Story is an adult film production set in San Francisco, released by the European adult entertainment studio Private as part of its spin-off series.
-
D.
City Controller of San Francisco
The City Controller of San Francisco is the chief financial officer and auditor for the city and county, responsible for overseeing budgeting, financial reporting, and fiscal integrity of local government operations.
-
E.
TV series "Moonlighting"
TV series "Moonlighting" is a 1980s American comedy-drama and detective show starring Bruce Willis and Cybill Shepherd, known for its witty dialogue, breaking the fourth wall, and blending romance with mystery.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb057f1c881909a3bb77c659a724a |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bc762a08190b5d29cef9923da84 |
completed | May 3, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_69f77643b0348190962bf23a9857edbe |
completed | May 3, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7791add908190af69b23a54eb7560 |
completed | May 3, 2026, 4:34 p.m. |
Created at: April 9, 2026, 9:49 p.m.