Triple
T4807399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Like a Hurricane |
E106979
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | David Briggs |
E501816
|
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: David Briggs | Statement: [Like a Hurricane, producer, David Briggs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Briggs Context triple: [Like a Hurricane, producer, David Briggs]
-
A.
David Briggs
chosen
David Briggs was a renowned record producer best known for his extensive work with Neil Young, shaping the sound of several of Young’s most acclaimed albums.
-
B.
Dani Stevenson
Dani Stevenson is an American R&B singer best known for her early-2000s work, including featured and background vocals on popular hip-hop and R&B tracks.
-
C.
Ken Groves
Ken Groves is a professional ventriloquist and comedian known for his live performances and appearances on television and at comedy venues.
-
D.
David Gill
David Gill was a British television producer and film historian best known for his acclaimed documentaries on cinema history, including collaborations with Kevin Brownlow.
-
E.
Stephen Langridge
Stephen Langridge is a British opera and theatre director known for leading major European opera institutions and for his innovative, often socially engaged productions.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c69099c8190956b6df42bb922c8 |
completed | March 20, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe46b4d081908597c79135415909 |
completed | March 21, 2026, 8:23 p.m. |
Created at: March 20, 2026, 1:23 p.m.