Triple
T12349951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tracks of My Tears |
E294456
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Warren Moore |
E983089
|
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: Warren Moore | Statement: [The Tracks of My Tears, producer, Warren Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warren Moore Context triple: [The Tracks of My Tears, producer, Warren Moore]
-
A.
Warren Moore
chosen
Warren Moore was an American songwriter and member of the Miracles, best known for co-writing several Motown hits including "The Tracks of My Tears."
-
B.
Shane Meadows
Shane Meadows is an English filmmaker known for his gritty, realist dramas such as "This Is England" that explore working-class life and social issues in Britain.
-
C.
Iain Softley
Iain Softley is a British film director, producer, and screenwriter known for movies such as "Backbeat," "Hackers," and "The Wings of the Dove."
-
D.
Rowan Joffé
Rowan Joffé is a British screenwriter and director known for his work on films such as "28 Weeks Later" and "Brighton Rock."
-
E.
Mike Figgis
Mike Figgis is a British film director, screenwriter, and composer best known for his innovative, often experimental work in cinema, including the acclaimed film "Leaving Las Vegas."
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7cbff08190849cd2aec4ce3243 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655608a0c81908002f9d79d017ded |
completed | May 2, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:53 p.m.