Triple
T9038771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'm on Fire |
E216566
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | John Sayles |
E536724
|
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: John Sayles | Statement: [I'm on Fire, musicVideoDirector, John Sayles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Sayles Context triple: [I'm on Fire, musicVideoDirector, John Sayles]
-
A.
John Sayles
chosen
John Sayles is an American independent filmmaker, screenwriter, and novelist known for his socially conscious, character-driven films.
-
B.
Philip Kaufman
Philip Kaufman is an American film director and screenwriter known for works such as "The Right Stuff," "Invasion of the Body Snatchers" (1978), and "The Unbearable Lightness of Being."
-
C.
Tony Bill
Tony Bill is an American film producer, director, and actor best known for producing the Oscar-winning film "The Sting" and directing movies such as "My Bodyguard."
-
D.
Ken Hughes
Ken Hughes was a British film director and screenwriter best known for directing the 1968 musical fantasy film "Chitty Chitty Bang Bang."
-
E.
Alan Rudolph
Alan Rudolph is an American film director and screenwriter known for his offbeat, character-driven dramas and romantic films, often blending ensemble casts with stylized, atmospheric storytelling.
- 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_69ca83d10b608190b2b2f8e0a7faaf14 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6ac35db081908222e233933060b0 |
completed | April 1, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeb8ec0588190a24b4a2aa443399f |
completed | April 3, 2026, 4:32 p.m. |
Created at: March 30, 2026, 7:09 p.m.