Triple
T19397899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The War |
E485240
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jon Avnet |
—
|
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: Jon Avnet | Statement: [The War, producer, Jon Avnet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Avnet Context triple: [The War, producer, Jon Avnet]
-
A.
Jon Avnet
chosen
Jon Avnet is an American film and television producer and director known for works such as "Fried Green Tomatoes," "Up Close & Personal," and "Boiler Room."
-
B.
Bob Ridley
Bob Ridley is an American soccer coach best known for managing the Dallas Tornado in the North American Soccer League.
-
C.
Irwin Kershner
Irwin Kershner was an American film director best known for directing "Star Wars: Episode V – The Empire Strikes Back."
-
D.
John Alcott
John Alcott was an acclaimed British cinematographer best known for his influential collaborations with director Stanley Kubrick on films such as "Barry Lyndon," "A Clockwork Orange," and "The Shining."
-
E.
Jacob Kershner
Jacob Kershner was the first husband of anarchist activist and writer Emma Goldman, known primarily through his brief and troubled marriage to her in the late 19th century.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62574edd08190b5456108d5e3907e |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.