Triple
T22432322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Health |
E554529
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Kevin Ayers |
—
|
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: Kevin Ayers | Statement: [National Health, hasMember, Kevin Ayers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Ayers Context triple: [National Health, hasMember, Kevin Ayers]
-
A.
Kevin Ayers
chosen
Kevin Ayers was an English singer-songwriter and founding member of the influential psychedelic rock band Soft Machine, known for his eclectic solo work in the 1960s and 1970s.
-
B.
Kevin Godley
Kevin Godley is a British musician and acclaimed music video director, best known as a founding member of 10cc and for his innovative, visually inventive work in the medium.
-
C.
Ian Matthews
Ian Matthews is an English drummer best known for his work with the rock band Kasabian.
-
D.
Rod Argent
Rod Argent is an English keyboardist, singer, songwriter, and founding member of the rock bands The Zombies and Argent, known for his influential work in 1960s psychedelic and baroque pop.
-
E.
Anthony Buckley
Anthony Buckley is an Australian film producer and editor known for his work on notable Australian cinema, including influential dramas and documentaries.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a3320448190ae3931062599116e |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.