Triple
T9623152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Craig |
E232393
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jim Craig |
E232393
|
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: Jim Craig | Statement: [Jim Craig, name, Jim Craig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Craig Context triple: [Jim Craig, name, Jim Craig]
-
A.
Jim Craig
chosen
Jim Craig is an American ice hockey goaltender best known for backstopping the "Miracle on Ice" U.S. team to a gold medal at the 1980 Winter Olympics.
-
B.
Jim Craig
Jim Craig is a former Scottish footballer best known as the right-back in Celtic FC’s legendary 1967 European Cup–winning "Lisbon Lions" team.
-
C.
Colin Smythe
Colin Smythe is a British publisher and literary agent best known for first publishing Terry Pratchett’s Discworld novels.
-
D.
Jerry York
Jerry York is a legendary American college ice hockey coach best known for leading Boston College to multiple NCAA championships and becoming the winningest coach in NCAA hockey history.
-
E.
Don Nelson
Don Nelson is a Hall of Fame NBA coach and former player best known for his innovative, up-tempo offensive systems and record-setting total for career coaching wins.
- 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_69ca848793ec8190a93a12383a754dc0 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9ad650a4819096258665bc3f410b |
completed | April 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1797386d88190bc1d9309ecc1b4fb |
completed | April 4, 2026, 8:49 p.m. |
Created at: March 30, 2026, 8:10 p.m.