Triple
T2983515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Halas |
E80566
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Papa Bear
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.
|
E317167
|
NE FINISHED |
How this triple was built (4 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, nickname, Papa Bear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Papa Bear Context triple: [George Halas, nickname, Papa Bear]
-
A.
Mellie the Bear
Mellie the Bear is the mascot of Pauli Murray College, one of Yale University's residential colleges.
-
B.
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."
-
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.
Bruno the Bear
Bruno the Bear is the costumed bear mascot that represents Brown University at its athletic events and school functions.
-
E.
Bear
"Bear" is the NATO reporting name for the Tupolev Tu-95, a long-range, turboprop-powered strategic bomber and maritime patrol aircraft developed by the Soviet Union.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Papa Bear Triple: [George Halas, nickname, Papa Bear]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Papa Bear Target entity description: 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.
-
A.
Mellie the Bear
Mellie the Bear is the mascot of Pauli Murray College, one of Yale University's residential colleges.
-
B.
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."
-
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.
Bruno the Bear
Bruno the Bear is the costumed bear mascot that represents Brown University at its athletic events and school functions.
-
E.
Bear
"Bear" is the NATO reporting name for the Tupolev Tu-95, a long-range, turboprop-powered strategic bomber and maritime patrol aircraft developed by the Soviet Union.
- F. None of above. chosen
Provenance (5 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99c481fc81909971c96352a881b4 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108f5e5c88190b9dd0a67cb159854 |
completed | March 11, 2026, 6:17 a.m. |
| NEDg | Description generation | batch_69b10b3967ac81908390d684f2fb23b2 |
completed | March 11, 2026, 6:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10f312ec88190b632639acbd024dc |
completed | March 11, 2026, 6:44 a.m. |
Created at: March 8, 2026, 2:58 p.m.