Triple
T8789585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coe College |
E209127
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object |
Kohawk
The Kohawk is the distinctive bird mascot representing Coe College’s athletic teams and school spirit.
|
E757759
|
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: Kohawk | Statement: [Coe College, mascot, Kohawk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kohawk Context triple: [Coe College, mascot, Kohawk]
-
A.
Tigar
Tigar is a Serbian tire manufacturer known for producing budget-friendly tires and rubber products, operating as a subsidiary of the Michelin Group.
-
B.
Tigery
Tigery is a small commune in the Essonne department of the Île-de-France region in northern France.
-
C.
Kurō
Kurō is an honorific name historically associated with the famed Japanese military commander Minamoto no Yoshitsune of the late Heian period.
-
D.
Akahige
Akahige is the Japanese name for the Japanese robin, a small passerine bird native to East Asia known for its bright orange-red face and breast.
-
E.
Kotěra
Kotěra is a Czech surname most notably associated with Jan Kotěra, a pioneering architect of modern architecture in Central Europe.
- 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: Kohawk Triple: [Coe College, mascot, Kohawk]
Generated description
The Kohawk is the distinctive bird mascot representing Coe College’s athletic teams and school spirit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kohawk Target entity description: The Kohawk is the distinctive bird mascot representing Coe College’s athletic teams and school spirit.
-
A.
Tigar
Tigar is a Serbian tire manufacturer known for producing budget-friendly tires and rubber products, operating as a subsidiary of the Michelin Group.
-
B.
Tigery
Tigery is a small commune in the Essonne department of the Île-de-France region in northern France.
-
C.
Kurō
Kurō is an honorific name historically associated with the famed Japanese military commander Minamoto no Yoshitsune of the late Heian period.
-
D.
Akahige
Akahige is the Japanese name for the Japanese robin, a small passerine bird native to East Asia known for its bright orange-red face and breast.
-
E.
Kotěra
Kotěra is a Czech surname most notably associated with Jan Kotěra, a pioneering architect of modern architecture in Central Europe.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f8b0c108190af53d4bb9b132c5c |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf5210454c8190aa83d941893a4bc5 |
completed | April 3, 2026, 5:37 a.m. |
| NEDg | Description generation | batch_69cf5378c3f48190a4180c20aecb2260 |
completed | April 3, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf5471e9c08190963b7f1d6c2ceffe |
completed | April 3, 2026, 5:47 a.m. |
Created at: March 30, 2026, 6:43 p.m.