Triple
T8352386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baylor Bears men's basketball |
E196592
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Bears |
E75737
|
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: [Baylor Bears men's basketball, nickname, Bears]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bears Context triple: [Baylor Bears men's basketball, nickname, Bears]
-
A.
Bears
The Bears are the athletic teams representing Washington University in St. Louis in collegiate sports.
-
B.
Bears
chosen
The Bears are the athletic teams representing Baylor University in collegiate sports competitions.
-
C.
Bears
The Bears are the athletic teams representing Shaw University in intercollegiate sports.
-
D.
Bears
Bears is the short name used for the former Australian rules football club Brisbane Bears.
-
E.
Bears
Bears is the nickname for the Brown University women's basketball team, representing the school in NCAA Division I competition.
- 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80460f048190aa298ddffde1047d |
completed | March 31, 2026, 8:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc75623488190be3303f5e75784e8 |
completed | April 2, 2026, 1:33 a.m. |
Created at: March 30, 2026, 5:59 p.m.