Triple
T9905845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quincy Jones III |
E185009
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Kidada Jones |
E331828
|
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: Kidada Jones | Statement: [Quincy Jones III, sibling, Kidada Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kidada Jones Context triple: [Quincy Jones III, sibling, Kidada Jones]
-
A.
Kidada Jones
chosen
Kidada Jones is an American actress, model, and fashion designer known for her styling work with major brands and celebrities, as well as for being the daughter of music producer Quincy Jones and actress Peggy Lipton.
-
B.
Emmadel Jones
Emmadel Jones is the central character of the film "Here Comes the Groom," around whom the story’s romantic and comedic events revolve.
-
C.
Jennifer Kidd
Jennifer Kidd is known as the wife of British author and former politician Stanley Johnson.
-
D.
Tish Jones
Tish Jones is a supporting character in the Doctor Who universe, known as the ambitious and resourceful sister of Martha Jones.
-
E.
Brionna Jones
Brionna Jones is an American professional basketball player and WNBA All-Star known for her strong post play and efficiency as a center.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb50cf8808190a41e565216712704 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2289a547481909997f8f2dcb5e84c |
completed | April 5, 2026, 9:17 a.m. |
Created at: March 30, 2026, 8:40 p.m.