Triple
T9477164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koopley |
E228543
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Koopley |
E228543
|
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: Koopley | Statement: [Koopley, name, Koopley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koopley Context triple: [Koopley, name, Koopley]
-
A.
Koopley
chosen
Koopley is a fictional character implied to be the father of Koops, likely within a narrative or game universe.
-
B.
Dore
The Dore is a river in central France that flows through the Massif Central before joining the Allier.
-
C.
Dore
Dore is a suburban village on the southwestern edge of Sheffield, England, known for its affluent residential character and proximity to the Peak District.
-
D.
Bonnat
Bonnat is a French surname most notably associated with the 19th-century painter Léon Bonnat.
-
E.
Oudry
Oudry is the surname of Jean-Baptiste Oudry, an 18th-century French painter and engraver renowned for his animal and hunting scenes.
- 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd801386948190890133f622ff360b |
completed | April 1, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12ceb52088190a03963a762c7d30d |
completed | April 4, 2026, 3:23 p.m. |
Created at: March 30, 2026, 7:54 p.m.