Triple
T10357279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Bachardy |
E244029
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Don Bachardy |
E244029
|
NE FINISHED |
How this triple was built (2 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 Bachardy | Statement: [Don Bachardy, name, Don Bachardy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Bachardy Context triple: [Don Bachardy, name, Don Bachardy]
-
A.
Don Bachardy
chosen
Don Bachardy is an American portrait artist known for his long-term relationship with writer Christopher Isherwood and his distinctive drawings of notable cultural figures.
-
B.
Bernie Ulman
Bernie Ulman was a prominent American football official best known for serving as a referee in the National Football League, including officiating major games such as Super Bowl IX.
-
C.
Gil Cates
Gil Cates was an American film, television, and theater producer and director best known for his multiple stints producing the Academy Awards telecasts.
-
D.
Donald Kushner
Donald Kushner is an American film producer best known for producing the groundbreaking science-fiction film "Tron" (1982).
-
E.
Paul Rubell
Paul Rubell is an American film editor known for his work on high-profile movies such as "The Insider," "Collateral," and "Transformers."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9563ea48190b8702b3ef497ed9a |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750b02ae48190898f9f97ab19ce60 |
completed | April 9, 2026, 7:09 a.m. |
Created at: April 6, 2026, 11:58 a.m.