Triple
T10572634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Use Me |
E249527
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Andre Fennell |
E876916
|
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: Andre Fennell | Statement: [Use Me, writer, Andre Fennell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andre Fennell Context triple: [Use Me, writer, Andre Fennell]
-
A.
Andre Fennell
chosen
Andre Fennell is a music producer known for his work on the track "Use Me."
-
B.
Andrew Rennison
Andrew Rennison is a British public official known for serving as the inaugural Surveillance Camera Commissioner, overseeing the regulation and ethical use of CCTV and related surveillance technologies in the UK.
-
C.
Matt Fenton
Matt Fenton is a British theatre director and arts leader known for his innovative, youth-focused programming and leadership within the UK performing arts sector.
-
D.
Keith Fenton
Keith Fenton is the charming yet unfaithful boyfriend whose behavior sparks the romantic mind games at the center of the film "Two Can Play That Game."
-
E.
Chris Fenton
Chris Fenton is a film producer and entertainment executive known for his work on projects such as the political drama "Chappaquiddick."
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52747a8d88190ab59333937180edc |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de222baab081908e2e2b18f656dedb |
completed | April 14, 2026, 11:16 a.m. |
Created at: April 6, 2026, 12:37 p.m.