Triple
T20520692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffer |
E503799
|
entity |
| Predicate | hasBandMemberAtTimeOfRecording |
P22071
|
FINISHED |
| Object | Jay Bentley |
—
|
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: Jay Bentley | Statement: [Suffer, hasBandMemberAtTimeOfRecording, Jay Bentley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Bentley Context triple: [Suffer, hasBandMemberAtTimeOfRecording, Jay Bentley]
-
A.
Jay Bentley
chosen
Jay Bentley is the longtime bassist and a founding member of the influential American punk rock band Bad Religion.
-
B.
Joe Bentley
Joe Bentley is a technology entrepreneur best known for co-founding the cloud gaming company OnLive.
-
C.
Trevor Bentham
Trevor Bentham is a British screenwriter best known for his work on character-driven dramas and romantic films, including the 1995 movie "A Month by the Lake."
-
D.
Ben Brierly
Ben Brierly is a musician best known as the former husband of singer Marianne Faithfull.
-
E.
Jeremy Baines
Jeremy Baines is a character from the British science fiction series Doctor Who, known as a schoolboy who becomes possessed by an alien entity called Son of Mine.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f4587c481908544f89572d164b0 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.