Triple
T4946520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bevo |
E111063
|
entity |
| Predicate | breed |
P14611
|
FINISHED |
| Object | Texas Longhorn |
E195264
|
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: Texas Longhorn | Statement: [Bevo, breed, Texas Longhorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Texas Longhorn Context triple: [Bevo, breed, Texas Longhorn]
-
A.
Texas longhorn cattle
chosen
Texas longhorn cattle are a historic American breed of beef cattle known for their characteristic exceptionally long, curved horns and their role in 19th-century cattle drives.
-
B.
Baylor Bear
Baylor Bear is the costumed bear mascot representing Baylor University's athletic teams and school spirit.
-
C.
Aggie
Aggie is a common diminutive or nickname for the given name Agnes.
-
D.
Pinto
Pinto is a municipality in the southern part of the Community of Madrid, Spain, known for its residential character and location near the region’s capital.
-
E.
Buffaloes
Buffaloes is the nickname of the Orix Buffaloes, a professional baseball team in Japan’s Nippon Professional Baseball league.
- 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70abf8dc819090269d0e1ce9f871 |
completed | March 20, 2026, 4:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77c873dc81909129644cf929ed5e |
completed | March 21, 2026, 10:49 a.m. |
Created at: March 20, 2026, 1:31 p.m.