Triple
T11876346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blunder Bowl |
E282535
|
entity |
| Predicate | associatedWithCoach |
P10045
|
FINISHED |
| Object | Don McCafferty |
E312986
|
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: Don McCafferty | Statement: [Blunder Bowl, associatedWithCoach, Don McCafferty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don McCafferty Context triple: [Blunder Bowl, associatedWithCoach, Don McCafferty]
-
A.
Don McCafferty
chosen
Don McCafferty was an American football coach best known for leading the Baltimore Colts to victory in Super Bowl V.
-
B.
Ben Cafferty
Ben Cafferty is a cynical, sharp-tongued political operative and senior adviser to Selina Meyer on the television series "Veep."
-
C.
Mark McDermott
Mark McDermott is a person notable enough to be specifically distinguished from others sharing the McDermott surname.
-
D.
Rob McKenna
Rob McKenna is an American attorney and politician best known for serving as the Attorney General of Washington State.
-
E.
Rob McKenna
Rob McKenna is a perpetually rain-plagued lorry driver in Douglas Adams' "So Long, and Thanks for All the Fish," humorously revealed to be a Rain God unknowingly worshipped by clouds.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be1b6a5c81909a18c54205dda09c |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8b788308190bd9c3b68569bc56a |
completed | May 3, 2026, 2:53 a.m. |
Created at: April 8, 2026, 9:44 p.m.