Triple
T7454939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purdue Boilermakers |
E172097
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Boilermakers |
E172095
|
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: Boilermakers | Statement: [Purdue Boilermakers, nickname, Boilermakers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boilermakers Context triple: [Purdue Boilermakers, nickname, 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.
Industrial Brothers
Industrial Brothers is a Canadian animation and production studio known for creating and producing children’s television series.
-
C.
Steelman
Steelman is a surname of English origin borne by various notable individuals, including American economist and presidential advisor John R. Steelman.
-
D.
Union Steel
Union Steel was an American steel company historically associated with industrialist and financier Andrew W. Mellon.
-
E.
Crews
Crews is the surname of American actor, former NFL player, and television host Terry Crews, known for his comedic roles and charismatic personality.
- 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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3addd648190b618bfbffe08db2c |
completed | March 27, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827bedc408190a9a77f293fb12762 |
completed | March 28, 2026, 7:10 p.m. |
Created at: March 27, 2026, 3:15 p.m.