Triple
T19855786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stevenson University |
E477127
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Mustang |
—
|
NE NERFINISHED |
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: Mustang | Statement: [Stevenson University, mascot, Mustang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mustang Context triple: [Stevenson University, mascot, Mustang]
-
A.
Mustang
Mustang is a small suburban city in central Oklahoma known for its family-oriented community and proximity to Oklahoma City.
-
B.
Mustang
Mustang is a remote, historically Tibetan-influenced region in north-central Nepal known for its arid Himalayan landscapes, ancient monasteries, and trekking routes.
-
C.
Mustang
chosen
Mustang is a free-roaming, wild horse of the American West, often symbolizing independence, strength, and untamed spirit.
-
D.
The Mustang
The Mustang is a 2019 drama film about a violent convict who begins to rehabilitate himself through a prison wild-horse training program.
-
E.
The Shelby Star
The Shelby Star is a local newspaper serving the community of Shelby and the surrounding area in North Carolina with news, sports, and community coverage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6586c14fc81908d34785f1088b0a9 |
completed | April 20, 2026, 4:46 p.m. |
Created at: April 10, 2026, 1:51 p.m.