Triple
T13315026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Halas |
E317168
|
entity |
| Predicate | notableAlias |
P39
|
FINISHED |
| Object | Papa Bear |
E317167
|
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: Papa Bear | Statement: [George Halas, notableAlias, Papa Bear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Papa Bear Context triple: [George Halas, notableAlias, Papa Bear]
-
A.
Papa Bear
chosen
Papa Bear is the famous nickname of George Halas, the legendary founder, owner, and longtime head coach of the Chicago Bears in the National Football League.
-
B.
Boomer the Bear
Boomer the Bear is the costumed bear mascot who represents Missouri State University at athletic events and campus activities.
-
C.
Bob Brown Bear
Bob Brown Bear is the costumed bear mascot of the Vancouver Canadians minor league baseball team, entertaining fans at their games and events.
-
D.
Mellie the Bear
Mellie the Bear is the mascot of Pauli Murray College, one of Yale University's residential colleges.
-
E.
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."
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990f8a86481909ea2942c63037b77 |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f2a8ba88190a59bc4840ec8ad13 |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 9:29 p.m.