Triple
T3316440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Condon |
E69692
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bill Condon |
E69692
|
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: Bill Condon | Statement: [Bill Condon, name, Bill Condon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Condon Context triple: [Bill Condon, name, Bill Condon]
-
A.
Bill Condon
chosen
Bill Condon is an American film director and screenwriter known for works such as "Gods and Monsters," "Dreamgirls," and Disney's live-action "Beauty and the Beast."
-
B.
Terence Winter
Terence Winter is an American screenwriter and producer best known for his work on acclaimed television dramas such as The Sopranos and Boardwalk Empire.
-
C.
Marc Forster
Marc Forster is a Swiss-German film director, producer, and screenwriter known for movies such as "Monster's Ball," "Finding Neverland," and the James Bond film "Quantum of Solace."
-
D.
Michael Greif
Michael Greif is an American theatre director best known for staging acclaimed Broadway musicals such as Rent, Next to Normal, and Dear Evan Hansen.
-
E.
Max Minghella
Max Minghella is a British actor and filmmaker known for roles in films like "The Social Network" and the series "The Handmaid's Tale."
- 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb11230b881908f5b554323729cc5 |
completed | March 8, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a759a3c81908105eae7fd856133 |
completed | March 12, 2026, 7:56 p.m. |
Created at: March 8, 2026, 3:11 p.m.