Triple
T15621468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baylor Bears |
E375564
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Marigold the Bear |
E370111
|
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: Marigold the Bear | Statement: [Baylor Bears, mascot, Marigold the Bear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marigold the Bear Context triple: [Baylor Bears, mascot, Marigold the Bear]
-
A.
Marigold the Bear
chosen
Marigold the Bear is one of the costumed spirit mascots representing Baylor University's athletic teams.
-
B.
Mellie the Bear
Mellie the Bear is the mascot of Pauli Murray College, one of Yale University's residential colleges.
-
C.
Boo Hoo the Bear
Boo Hoo the Bear is the costumed mascot representing Queen's University at Kingston, symbolizing school spirit and supporting the university’s athletic teams and events.
-
D.
Mrs Bear
Mrs Bear is a recurring character in the "Rupert Bear" children's stories, depicted as Rupert's kindly and caring mother in the Bear family.
-
E.
Tim the Bear
Tim the Bear is a talking anthropomorphic bear and one of the main characters on the animated TV series "The Cleveland Show."
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9a95f08190b0013ba1428849d3 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f3da754819085a6bd9876b12c65 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:13 a.m.