Triple
T23107812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thorobred |
E576225
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Thorobred |
—
|
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: Thorobred | Statement: [Thorobred, shortName, Thorobred]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thorobred Context triple: [Thorobred, shortName, Thorobred]
-
A.
Thorobred
chosen
Thorobred is the racehorse-themed mascot representing Kentucky State University’s athletic teams.
-
B.
Thortan
Thortan is the historical site in Armenia traditionally regarded as the place where Saint Gregory the Illuminator, the patron saint and first official head of the Armenian Apostolic Church, died.
-
C.
Gerabronn
Gerabronn is a small town in the German state of Baden-Württemberg, known as the birthplace of prominent Green politician and former foreign minister Joschka Fischer.
-
D.
Broten
Broten is a surname most notably associated with American ice hockey player Neal Broten, a Stanley Cup champion and Olympic gold medalist.
-
E.
Burkardroth
Burkardroth is a municipality in the Bavarian district of Bad Kissingen in Germany, known for its rural character and location within the scenic Rhön region.
- 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_69e245f4af548190898d434a64a1e774 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e0c7b9c8190b1160485eae87c9b |
completed | April 29, 2026, 4:50 a.m. |
Created at: April 17, 2026, 3:58 p.m.