Triple
T3677011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Drifters |
E78016
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Johnny Moore |
E378345
|
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: Johnny Moore | Statement: [The Drifters, hasMember, Johnny Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johnny Moore Context triple: [The Drifters, hasMember, Johnny Moore]
-
A.
Johnny Moore
Johnny Moore is a former NBA point guard best known for his playmaking and floor leadership with the San Antonio Spurs in the early 1980s.
-
B.
Johnny Moore
chosen
Johnny Moore was an American rhythm and blues singer best known as a longtime lead vocalist of the vocal group The Drifters.
-
C.
Dan Moore
Dan Moore is a fictional character appearing in the work "Cane."
-
D.
Clifton James
Clifton James was an American character actor best known for his comic portrayals of Southern lawmen in films such as the James Bond movies Live and Let Die and The Man with the Golden Gun.
-
E.
Victor Moore
Victor Moore was an American stage and film actor and comedian best known for his character roles in early 20th-century Hollywood musicals and comedies.
- 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.