Triple
T6341380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruno the Bear |
E142632
|
entity |
| Predicate | representsNickname |
P30501
|
FINISHED |
| Object | Brown Bears |
E142627
|
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: Brown Bears | Statement: [Bruno the Bear, representsNickname, Brown Bears]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brown Bears Context triple: [Bruno the Bear, representsNickname, Brown Bears]
-
A.
Brown Bears
chosen
The Brown Bears are the varsity athletic teams that represent Brown University in collegiate sports competitions.
-
B.
Black Bears
The Black Bears are the athletic teams representing the University of Maine in collegiate sports.
-
C.
Grizzly Bear
Grizzly Bear is an American indie rock band known for its intricate harmonies, experimental arrangements, and critically acclaimed albums such as "Veckatimest."
-
D.
Black Bear
"Black Bear" is a traditional Scottish bagpipe march widely associated with military regiments and ceremonial occasions.
-
E.
Black Bear
Black Bear is a 2020 psychological drama film that blends dark comedy and meta-narrative elements, starring Aubrey Plaza as a filmmaker entangled in a tense, reality-blurring relationship triangle.
- 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_69c008d5ab108190b346c465696824a9 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0674445748190bce2d638048be77c |
completed | March 22, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d4656f48190a4725fdeb2dd255d |
completed | March 27, 2026, 7:09 a.m. |
Created at: March 22, 2026, 4:30 p.m.