Triple
T22871078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Paint Crew |
E567195
|
entity |
| Predicate | supportsTeamNickname |
P24877
|
FINISHED |
| Object | Boilermakers |
—
|
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: Boilermakers | Statement: [The Paint Crew, supportsTeamNickname, Boilermakers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boilermakers Context triple: [The Paint Crew, supportsTeamNickname, Boilermakers]
-
A.
Boilermakers
chosen
Boilermakers is the nickname for Purdue University's athletic teams and, more broadly, a moniker for the university’s students and alumni.
-
B.
The Welders
The Welders is the nickname of H&W Welders F.C., a Northern Irish football club based in Belfast.
-
C.
Industrial Brothers
Industrial Brothers is a Canadian animation and production studio known for creating and producing children’s television series.
-
D.
Steelman
Steelman is a surname of English origin borne by various notable individuals, including American economist and presidential advisor John R. Steelman.
-
E.
Wisconsin Steel
Wisconsin Steel was a major steel manufacturing company based in Chicago, historically known for producing steel products for industrial and agricultural machinery.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f04b06481909004818ec8fc5a26 |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:38 p.m.