Triple
T18311588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridget McCain |
E438637
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Andy McCain |
—
|
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: Andy McCain | Statement: [Bridget McCain, hasRelative, Andy McCain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andy McCain Context triple: [Bridget McCain, hasRelative, Andy McCain]
-
A.
Andy McCain
chosen
Andy McCain is one of the children of the late U.S. Senator John McCain and a member of the McCain family.
-
B.
Ros McCain
Ros McCain is a character portrayed by Sophie McShera in the British television drama series "Waterloo Road."
-
C.
Doug McCain
Doug McCain is one of the adopted children of the late U.S. Senator John McCain and his wife Cindy, and the brother of Bridget McCain.
-
D.
Vince McCain
Vince McCain is a ruthless, profit-obsessed executive and the main antagonist in the British-American comedy film "Fierce Creatures."
-
E.
Michael McCrary
Michael McCrary is a former NFL defensive end best known for his standout pass-rushing career with the Baltimore Ravens, including helping the team win Super Bowl XXXV.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50219cd548190b8da5f402d5da773 |
completed | April 19, 2026, 4:26 p.m. |
Created at: April 10, 2026, 10:36 a.m.