Triple
T15949718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Preacher |
E386782
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Dave Porter |
E275839
|
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: Dave Porter | Statement: [Preacher, composer, Dave Porter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Porter Context triple: [Preacher, composer, Dave Porter]
-
A.
Dave Porter
chosen
Dave Porter is an American composer best known for creating the distinctive score and music for the television series Breaking Bad.
-
B.
Jeff Cronenweth
Jeff Cronenweth is an American cinematographer known for his stylish, atmospheric work on films such as "The Social Network" and collaborations with director David Fincher.
-
C.
John Seitz
John Seitz was an American cinematographer renowned for his influential work in classic Hollywood cinema, particularly in film noir and science fiction.
-
D.
Rob Kirwan
Rob Kirwan is an Irish music producer and engineer best known for his work with artists like Hozier, including on the hit single "Take Me to Church."
-
E.
Mike Jost
Mike Jost is a musician best known as the drummer for the punk rock band Helmet.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d4c5008190a56ebf8c28f712dc |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe76df6481909f8246099faa377a |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.