Triple
T10455521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kentucky State Thorobreds and Thorobrettes |
E246541
|
entity |
| Predicate | teamName |
P7598
|
FINISHED |
| Object | Thorobreds |
E576225
|
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: Thorobreds | Statement: [Kentucky State Thorobreds and Thorobrettes, teamName, Thorobreds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thorobreds Context triple: [Kentucky State Thorobreds and Thorobrettes, teamName, Thorobreds]
-
A.
Thorobred
chosen
Thorobred is the racehorse-themed mascot representing Kentucky State University’s athletic teams.
-
B.
Broten
Broten is a surname most notably associated with American ice hockey player Neal Broten, a Stanley Cup champion and Olympic gold medalist.
-
C.
Rombaken
Rombaken is a fjord in northern Norway, known as an inner branch of the Ofotfjord near the town of Narvik.
-
D.
Drots
Drots is the historical Swedish title for the Lord High Steward, one of the kingdom’s highest-ranking royal officials.
-
E.
Tengbom
Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe48d15c8190bae0d4859e6cda5d |
completed | April 7, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87f10b45c81908f1d3128c65750f8 |
completed | April 10, 2026, 4:39 a.m. |
Created at: April 6, 2026, 12:18 p.m.