Triple
T6341153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brown Bears |
E142627
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Bruno the Bear |
E142632
|
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: Bruno the Bear | Statement: [Brown Bears, mascot, Bruno the Bear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruno the Bear Context triple: [Brown Bears, mascot, Bruno the Bear]
-
A.
Bruno the Bear
chosen
Bruno the Bear is the costumed bear mascot that represents Brown University at its athletic events and school functions.
-
B.
Boomer the Bear
Boomer the Bear is the costumed bear mascot who represents Missouri State University at athletic events and campus activities.
-
C.
Carlton the Bear
Carlton the Bear is the official mascot of the NHL’s Toronto Maple Leafs, depicted as a friendly anthropomorphic polar bear who entertains fans at games and team events.
-
D.
Ben the bear
Ben the bear is the friendly, domesticated brown bear who serves as the central animal character in the television series "Gentle Ben."
-
E.
Bruiser the Bear
Bruiser the Bear is the costumed bear mascot who represents Baylor University’s athletic teams and school spirit.
- 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_69c0674311388190bb069a07a7ff60ef |
completed | March 22, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6043afb4081908d480ad868625909 |
completed | March 27, 2026, 4:14 a.m. |
Created at: March 22, 2026, 4:30 p.m.