Triple
T9015920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cal Poly Mustangs |
E215592
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object |
Musty the Mustang
Musty the Mustang is the costumed horse mascot who represents California Polytechnic State University’s athletic teams and school spirit.
|
E773079
|
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: Musty the Mustang | Statement: [Cal Poly Mustangs, mascot, Musty the Mustang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Musty the Mustang Context triple: [Cal Poly Mustangs, mascot, Musty the Mustang]
-
A.
Gunrock the Mustang
Gunrock the Mustang is the costumed horse mascot representing the athletic teams and spirit of the University of California, Davis.
-
B.
Mustang
Mustang is a small suburban city in central Oklahoma known for its family-oriented community and proximity to Oklahoma City.
-
C.
Mustang
Mustang is a remote, historically Tibetan-influenced region in north-central Nepal known for its arid Himalayan landscapes, ancient monasteries, and trekking routes.
-
D.
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.
-
E.
Toofer
Toofer is a pretentious, Harvard-educated writer on the fictional sketch show within the TV series "30 Rock."
- 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: Musty the Mustang Triple: [Cal Poly Mustangs, mascot, Musty the Mustang]
Generated description
Musty the Mustang is the costumed horse mascot who represents California Polytechnic State University’s athletic teams and school spirit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Musty the Mustang Target entity description: Musty the Mustang is the costumed horse mascot who represents California Polytechnic State University’s athletic teams and school spirit.
-
A.
Gunrock the Mustang
Gunrock the Mustang is the costumed horse mascot representing the athletic teams and spirit of the University of California, Davis.
-
B.
Mustang
Mustang is a small suburban city in central Oklahoma known for its family-oriented community and proximity to Oklahoma City.
-
C.
Mustang
Mustang is a remote, historically Tibetan-influenced region in north-central Nepal known for its arid Himalayan landscapes, ancient monasteries, and trekking routes.
-
D.
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.
-
E.
Toofer
Toofer is a pretentious, Harvard-educated writer on the fictional sketch show within the TV series "30 Rock."
- 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_69ca83a38aa88190bf1bb80c4548b5e2 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69fc0e4c819080b60456375f94cd |
completed | April 1, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdba8bd8c81909860d561d9d16611 |
completed | April 3, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69cfdcae0e5c81909c50a0b53c1cf7cc |
completed | April 3, 2026, 3:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfdd6a2ba481908d66fed8f05a1297 |
completed | April 3, 2026, 3:31 p.m. |
Created at: March 30, 2026, 7:06 p.m.