Triple
T2035854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington University Bears |
E44625
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Bears |
E44625
|
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: Bears | Statement: [Washington University Bears, hasNickname, Bears]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bears Context triple: [Washington University Bears, hasNickname, Bears]
-
A.
Bears
chosen
The Bears are the athletic teams representing Washington University in St. Louis in collegiate sports.
-
B.
Bears
The Bears are the athletic teams representing Baylor University in collegiate sports competitions.
-
C.
Black Bears
The Black Bears are the athletic teams representing the University of Maine in collegiate sports.
-
D.
Brown Bears
The Brown Bears are the varsity athletic teams that represent Brown University in collegiate sports competitions.
-
E.
Badgers
Badgers is the nickname for the athletic teams representing the University of Wisconsin–Madison in collegiate sports.
- 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb934ff948190acd88d4f587463a4 |
completed | March 7, 2026, 5:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1ff38fb881909558e4d715a4d314 |
completed | March 9, 2026, 1:18 a.m. |
Created at: March 4, 2026, 7:39 p.m.