Triple
T15663802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tess Harding |
E376633
|
entity |
| Predicate | hasSpouse |
P13
|
FINISHED |
| Object | Sam Craig |
E400871
|
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: Sam Craig | Statement: [Tess Harding, hasSpouse, Sam Craig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Craig Context triple: [Tess Harding, hasSpouse, Sam Craig]
-
A.
Sam Craig
chosen
Sam Craig is a central character in the classic film "Woman of the Year," serving as the down-to-earth sports reporter whose relationship with high-profile journalist Tess Harding drives the movie’s romantic and thematic conflicts.
-
B.
Steven Craig
Steven Craig is best known as the former husband of acclaimed American actress Sally Field.
-
C.
Greg Crawford
Greg Crawford is an American academic leader and physicist best known for serving as the president of Miami University in Ohio.
-
D.
Ben Cronin
Ben Cronin is the high school swimming star and central protagonist whose life unravels after a dangerous obsession forms around him in the thriller film "Swimfan."
-
E.
Ian Crafford
Ian Crafford is a film editor best known for his work on the family fantasy movie "The Indian in the Cupboard."
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f0e2668819092e52712cddd0721 |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025e9b00c81908cb5f305c894363f |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 4:16 a.m.