Triple
T19520657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick "Goose" Bradshaw |
E488392
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Carole Bradshaw |
—
|
NE NERFINISHED |
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: Carole Bradshaw | Statement: [Nick "Goose" Bradshaw, spouse, Carole Bradshaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carole Bradshaw Context triple: [Nick "Goose" Bradshaw, spouse, Carole Bradshaw]
-
A.
Carole Bradshaw
chosen
Carole Bradshaw is a fictional character in the Top Gun film series, known as the mother of Bradley "Rooster" Bradshaw and the widow of Nick "Goose" Bradshaw.
-
B.
Sharon Vaughn
Sharon Vaughn is the mother of American actor and comedian Vince Vaughn.
-
C.
Arlene Donovan
Arlene Donovan is a film producer best known for her work on the acclaimed 1984 drama "Places in the Heart."
-
D.
Gail Bartlett
Gail Bartlett is known as the wife of former Dallas mayor and U.S. Congressman Steve Bartlett.
-
E.
Beth Davenport
Beth Davenport is a recurring character in the television series "The Rockford Files," where she works as a lawyer and often becomes involved in Jim Rockford’s cases.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359feb808190ba94563831adc720 |
completed | April 20, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:40 p.m.