Triple
T6862708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craig McRae |
E158320
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Craig |
E70284
|
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: Craig | Statement: [Craig McRae, givenName, Craig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craig Context triple: [Craig McRae, givenName, Craig]
-
A.
Craig
chosen
Craig is a masculine given name of Scottish origin that means "rock" or "crag."
-
B.
Craig
Craig is a small city in northwestern Colorado known as a regional hub for ranching, hunting, and outdoor recreation.
-
C.
Craig
Craig is a small city located on Prince of Wales Island in Alaska’s Alexander Archipelago, known for its fishing industry and surrounding coastal wilderness.
-
D.
Neal
Neal is a masculine given name of Gaelic origin, commonly used in English-speaking countries.
-
E.
Craig Forrest
Craig Forrest is a former Canadian professional goalkeeper best known for his long international career with Canada’s national team and his club tenure in England, particularly with Ipswich Town and West Ham United.
- 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d887d6648190a0c2d1cb1b284bfe |
completed | March 27, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fed3e788190b2b68fc93173f73e |
completed | March 28, 2026, 1:33 a.m. |
Created at: March 27, 2026, 2:21 p.m.