Triple
T10808599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gia Scala |
E255031
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Don Burnett
Don Burnett was a British-born American actor best known for his film and television roles in the 1950s and 1960s.
|
E899904
|
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: Don Burnett | Statement: [Gia Scala, spouse, Don Burnett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Burnett Context triple: [Gia Scala, spouse, Don Burnett]
-
A.
Don Saleski
Don Saleski is a former NHL right winger best known for his gritty, physical play with the Philadelphia Flyers during their 1970s "Broad Street Bullies" era.
-
B.
Buck Houghton
Buck Houghton was an American television producer best known for his work on the original series of The Twilight Zone.
-
C.
Kim Boggs
Kim Boggs is the compassionate teenage girl who becomes Edward’s love interest and moral anchor in the fantasy film "Edward Scissorhands."
-
D.
Jere Burns
Jere Burns is an American character actor known for his sharp, often villainous or darkly comedic roles in television series such as "Dear John," "Justified," and "Burn Notice."
-
E.
Dennis Wilkey
Dennis Wilkey is a songwriter best known for co-writing the lyrics to Grace Jones's hit song "I've Seen That Face Before (Libertango)."
- 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: Don Burnett Triple: [Gia Scala, spouse, Don Burnett]
Generated description
Don Burnett was a British-born American actor best known for his film and television roles in the 1950s and 1960s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Don Burnett Target entity description: Don Burnett was a British-born American actor best known for his film and television roles in the 1950s and 1960s.
-
A.
Don Saleski
Don Saleski is a former NHL right winger best known for his gritty, physical play with the Philadelphia Flyers during their 1970s "Broad Street Bullies" era.
-
B.
Buck Houghton
Buck Houghton was an American television producer best known for his work on the original series of The Twilight Zone.
-
C.
Kim Boggs
Kim Boggs is the compassionate teenage girl who becomes Edward’s love interest and moral anchor in the fantasy film "Edward Scissorhands."
-
D.
Jere Burns
Jere Burns is an American character actor known for his sharp, often villainous or darkly comedic roles in television series such as "Dear John," "Justified," and "Burn Notice."
-
E.
Dennis Wilkey
Dennis Wilkey is a songwriter best known for co-writing the lyrics to Grace Jones's hit song "I've Seen That Face Before (Libertango)."
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733b60c6481909b043565a65f996d |
completed | April 9, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e373d238b88190a6f44fecfb64410c |
completed | April 18, 2026, 12:06 p.m. |
| NEDg | Description generation | batch_69e37ab6ca788190ac41f9494ad9a47f |
completed | April 18, 2026, 12:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37c9439fc8190a69cfb1a13da4c19 |
completed | April 18, 2026, 12:44 p.m. |
Created at: April 8, 2026, 9:18 p.m.