Triple
T14854130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josh Brolin |
E349306
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Kathryn Boyd |
E514738
|
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: Kathryn Boyd | Statement: [Josh Brolin, spouse, Kathryn Boyd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kathryn Boyd Context triple: [Josh Brolin, spouse, Kathryn Boyd]
-
A.
Kathryn Boyd
chosen
Kathryn Boyd is an American model and former assistant who later became the wife of actor Josh Brolin.
-
B.
Kathryn Morris
Kathryn Morris is an American actress best known for her lead role as Detective Lilly Rush on the television series "Cold Case."
-
C.
Catherine Boyd
Catherine Boyd was the first wife of American actor Christopher Lloyd, known primarily in relation to their early marriage before his rise to widespread fame.
-
D.
Lynda Boyd
Lynda Boyd is a Canadian actress and singer known for her work in film and television, including prominent roles in series such as Tin Star.
-
E.
Karin Booth
Karin Booth was an American film and television actress active in the 1940s and 1950s, known for her roles in dramas, westerns, and adventure films.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44318f0819080b6c599f2d3474f |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a4fffa7c81909bcc833b44ddf66f |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 1:54 a.m.