Triple
T14657455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Avary |
E344146
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Roger Avary |
E344146
|
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: Roger Avary | Statement: [Roger Avary, name, Roger Avary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger Avary Context triple: [Roger Avary, name, Roger Avary]
-
A.
Roger Avary
chosen
Roger Avary is a Canadian filmmaker and screenwriter best known for co-writing the Oscar-winning screenplay for Quentin Tarantino’s film "Pulp Fiction."
-
B.
Jon Amiel
Jon Amiel is a British film and television director known for works such as "The Singing Detective," "Copycat," and "Entrapment."
-
C.
Geri Eszterhas
Geri Eszterhas is the wife of Hungarian-American screenwriter and author Joe Eszterhas.
-
D.
Tom DiCillo
Tom DiCillo is an American independent film director, screenwriter, and cinematographer best known for his offbeat, character-driven movies such as "Living in Oblivion."
-
E.
Alan Burgess
Alan Burgess was a British author and screenwriter best known for writing the book that inspired the film "The Inn of the Sixth Happiness."
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51a562c819098971447db4b29f7 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e01cd081909c71fdcf67c3b1f5 |
completed | May 8, 2026, 12:24 p.m. |
Created at: April 10, 2026, 1:27 a.m.