Triple
T15964354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Modern Jazz Quartet |
E387145
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Connie Kay |
E904384
|
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: Connie Kay | Statement: [Modern Jazz Quartet, hasMember, Connie Kay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Connie Kay Context triple: [Modern Jazz Quartet, hasMember, Connie Kay]
-
A.
Connie Kay
chosen
Connie Kay was an American jazz drummer best known for his long tenure with the Modern Jazz Quartet and collaborations with numerous leading jazz artists.
-
B.
Clarissa Kaye
Clarissa Kaye was an Australian actress best known for her film and stage work and for being the second wife of British actor James Mason.
-
C.
Connie Stevens
Connie Stevens is an American actress and singer best known for her roles in 1960s film and television, including the series "Hawaiian Eye."
-
D.
Connie Cunaman
Connie Cunaman is a muscular, socially awkward, and often unhinged park ranger from the animated comedy series "Brickleberry."
-
E.
Connie Gilchrist
Connie Gilchrist was an American character actress known for her warm, no-nonsense portrayals in numerous Hollywood films and television shows from the 1930s through the 1960s.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572475948190af0e3b12de0f6cea |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe84f4888190b3fdb5f32763f78d |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.