Triple
T10031609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aaron Neville |
E204864
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Cyril Neville |
E730475
|
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: Cyril Neville | Statement: [Aaron Neville, sibling, Cyril Neville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cyril Neville Context triple: [Aaron Neville, sibling, Cyril Neville]
-
A.
Cyril Neville
chosen
Cyril Neville is an American percussionist and singer best known as the youngest of the Neville brothers and a key figure in New Orleans funk, R&B, and soul music.
-
B.
John Neville
John Neville was a distinguished British-born actor and theatre director renowned for his classical stage work and later film and television roles, including his portrayal of the title character in "The Adventures of Baron Munchausen."
-
C.
Gerald Neville
Gerald Neville is the central fictional protagonist of the novel "Falkner" by Mary Shelley.
-
D.
Tom Neville
Tom Neville is a calculating and ruthless former insurance adjuster turned militia officer in the post-apocalyptic TV series "Revolution," known for his complex morality and shifting loyalties.
-
E.
Robert Dukes
Robert Dukes is an author best known for writing the second installment of the "Bound" series.
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce461d6481908cc8f968856e0337 |
completed | April 2, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2823e63488190bef7633b1a755df8 |
completed | April 5, 2026, 3:39 p.m. |
Created at: March 30, 2026, 8:54 p.m.