Triple
T495698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bison |
E10288
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Howard Bison |
E10288
|
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: Howard Bison | Statement: [Bison, relatedTo, Howard Bison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howard Bison Context triple: [Bison, relatedTo, Howard Bison]
-
A.
Bison
chosen
Bison is the official mascot of Howard University, symbolizing the institution’s strength, resilience, and historic legacy.
-
B.
Buffalo Bull
Buffalo Bull is the official mascot character of the Japanese professional baseball team Orix Buffaloes.
-
C.
Bronk
Bronk is a surname most notably associated with Detlev W. Bronk, an influential American scientist and educator who helped shape modern biophysics and higher education policy.
-
D.
Bears
The Bears are the athletic teams representing Washington University in St. Louis in collegiate sports.
-
E.
Barkley
Barkley is a surname most notably associated with Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f115334881908ac5ab96c7f4214e |
completed | Feb. 28, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a47d2da4488190be3146538a4f3d46 |
completed | March 1, 2026, 5:53 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.