Triple
T3677012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Drifters |
E78016
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Bill Pinkney |
E378346
|
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: Bill Pinkney | Statement: [The Drifters, hasMember, Bill Pinkney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Pinkney Context triple: [The Drifters, hasMember, Bill Pinkney]
-
A.
Bill Pinkney
chosen
Bill Pinkney was an American R&B singer best known as an original member and longtime lead of the vocal group The Drifters.
-
B.
Pamela Gray
Pamela Gray is an American screenwriter known for her work on character-driven drama films, including the military biographical film "Megan Leavey."
-
C.
Loren Long
Loren Long is an American children's book illustrator and author known for his richly detailed, nostalgic artwork in popular picture books and collaborations with prominent writers.
-
D.
Lenore Kipp
Lenore Kipp was the wife of American actor Joseph Cotten, known primarily for her long marriage to the classic Hollywood star.
-
E.
Pauletta Washington
Pauletta Washington is an American actress and musician best known for her long-standing marriage to actor Denzel Washington and her work in film, television, and theater.
- 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4643cf08190b2d10ddf4aac7407 |
completed | March 8, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3a50d40819081aad0c72bcaee9d |
completed | March 14, 2026, 2:10 a.m. |
Created at: March 8, 2026, 3:25 p.m.