Triple
T20517611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Woodcock |
E503720
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Roger Birnbaum |
—
|
NE NERFINISHED |
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: Roger Birnbaum | Statement: [Mr. Woodcock, producer, Roger Birnbaum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger Birnbaum Context triple: [Mr. Woodcock, producer, Roger Birnbaum]
-
A.
Roger Birnbaum
chosen
Roger Birnbaum is an American film producer and studio executive known for co-founding Spyglass Entertainment and producing numerous mainstream Hollywood films.
-
B.
Jerry Bresler
Jerry Bresler was an American film producer active in mid-20th-century Hollywood, known for working on large-scale studio productions.
-
C.
Roger Fishman
Roger Fishman is an American author, filmmaker, and entrepreneur known for his work in environmental storytelling and for being married to actress Courtney Thorne-Smith.
-
D.
Roger Newberger
Roger Newberger is a film producer best known for his work on the dark comedy crime film "Grosse Pointe Blank."
-
E.
Jack N. Berkman
Jack N. Berkman was a benefactor whose support and legacy are honored through the naming of the Berkman Klein Center for Internet & Society at Harvard University.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f42db688190a3ccfba5601e8bf3 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.