Triple
T12349822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pete Moore |
E294453
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Pete Moore |
E294453
|
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: Pete Moore | Statement: [Pete Moore, name, Pete Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pete Moore Context triple: [Pete Moore, name, Pete Moore]
-
A.
Pete Moore
chosen
Pete Moore was an American singer, songwriter, and producer best known as the bass vocalist and key songwriter for the Motown group Smokey Robinson & The Miracles.
-
B.
Dan Moore
Dan Moore is a fictional character appearing in the work "Cane."
-
C.
Mickey Loomis
Mickey Loomis is an American football executive best known for leading the New Orleans Saints’ front office during their rise to Super Bowl contention and long-term success in the NFL.
-
D.
Howard McNear
Howard McNear was an American character actor best known for playing the genial barber Floyd Lawson on the classic television series "The Andy Griffith Show."
-
E.
Ned Dorsey
Ned Dorsey is the fast-talking, career-obsessed advertising executive who serves as one of the central protagonists on the 1990s sitcom "Ned and Stacey."
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7cbff08190849cd2aec4ce3243 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ab066108190bba8eca95d3e0a81 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.