Triple
T17511752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who Do You Trust? |
E426466
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Nicholas Furlong |
—
|
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: Nicholas Furlong | Statement: [Who Do You Trust?, producer, Nicholas Furlong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicholas Furlong Context triple: [Who Do You Trust?, producer, Nicholas Furlong]
-
A.
Nicholas Furlong
chosen
Nicholas Furlong is an American songwriter and record producer known for his work with prominent rock and pop artists, including collaborations with bands like Papa Roach.
-
B.
Seamus Tierney
Seamus Tierney is a cinematographer known for his work on the film "Love, Antosha."
-
C.
Myles Connolly
Myles Connolly was an American author, Hollywood screenwriter, and devout Catholic layman best known for his influential novel "Mr. Blue" and his work on numerous classic films.
-
D.
Michael Fitzpatrick
Michael Fitzpatrick is a character featured in the story of Lydia, likely serving as a significant figure in her narrative or relationships.
-
E.
Seamus Dever
Seamus Dever is an American actor best known for playing Detective Kevin Ryan on the television series "Castle."
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525c21c88190a9394c4bce006a38 |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:48 a.m.