Triple
T11299141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Den |
E267530
|
entity |
| Predicate | associatedWithNickname |
P11214
|
FINISHED |
| Object | Bruins |
unclear NED1
|
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: Bruins | Statement: [The Den, associatedWithNickname, Bruins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruins Context triple: [The Den, associatedWithNickname, Bruins]
-
A.
Bruins
Bruins is the nickname for the athletic teams representing the University of California, Los Angeles (UCLA).
-
B.
Bruins
Bruins is the mascot representing the athletic teams and school spirit of Northwest Whitfield High School.
-
C.
Bruins
The Bruins are the intercollegiate athletic teams that represent Bob Jones University in collegiate sports.
-
D.
Bruins
The Bruins are the athletic teams representing Belmont University in intercollegiate sports.
-
E.
Bruins
Bruins is the bear-themed mascot representing George Fox University’s athletic teams.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a3616c8190a8fd23ca67463806 |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a3e26e88190991127a5993a32a4 |
completed | April 19, 2026, 5 p.m. |
Created at: April 8, 2026, 9:32 p.m.