Triple
T13827431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clan Colquhoun |
E332287
|
entity |
| Predicate | hasSept |
P60340
|
FINISHED |
| Object | Cahoon |
E1064494
|
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: Cahoon | Statement: [Clan Colquhoun, hasSept, Cahoon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cahoon Context triple: [Clan Colquhoun, hasSept, Cahoon]
-
A.
Cahoon
chosen
Cahoon is a surname that originated as a variant of the Scottish Clan Colquhoun name.
-
B.
Kinnear
Kinnear is an English surname most notably associated with the British actor Rory Kinnear and his theatrical family.
-
C.
Cal Coons
Cal Coons is a Canadian television writer and producer best known for developing and showrunning the long-running period detective series "Murdoch Mysteries."
-
D.
Reeser
Reeser is a surname most notably associated with American actress Autumn Reeser, known for her roles in television and film.
-
E.
Hagey
Hagey is a surname most notably associated with Gerald Hagey, a prominent Canadian academic and founding president of the University of Waterloo.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0295d2d48190b08eba0d805bd72d |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c7062f548190a6a8d06ef2eefc9f |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:13 p.m.