Triple
T14611788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take 6 |
E342978
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Claude McKnight |
E342977
|
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: Claude McKnight | Statement: [Take 6, hasPart, Claude McKnight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claude McKnight Context triple: [Take 6, hasPart, Claude McKnight]
-
A.
Claude McKnight
chosen
Claude McKnight is an American gospel singer best known as the founding member and lead tenor of the a cappella group Take 6.
-
B.
Claude Preston Williams
Claude Preston "Lefty" Williams was an American Major League Baseball pitcher best known for his role in the 1919 Black Sox scandal.
-
C.
Maurice McEndree
Maurice McEndree is a cinematographer known for his work on the film "Faces."
-
D.
Maurice McEndree
Maurice McEndree is a music producer best known for his work on the track "Shadows."
-
E.
Claude Johnson
Claude Johnson was a key early executive and promoter at Rolls-Royce, often credited with helping establish the company’s reputation for reliability and luxury through high-profile endurance trials and marketing.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb450e6588190a94488d8e71888c8 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0763ca081909fa8bcbdc46f2fac |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:25 a.m.