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.