Triple
T23394346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dexter Horton |
E594110
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Horton |
—
|
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: Horton | Statement: [Dexter Horton, familyName, Horton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Horton Context triple: [Dexter Horton, familyName, Horton]
-
A.
Horton
Horton is a small village and civil parish in the Royal Borough of Windsor and Maidenhead in Berkshire, England.
-
B.
Horton
Horton is a locality within the Borough of Epsom and Ewell in Surrey, England, known historically for its former psychiatric hospitals and surrounding green spaces.
-
C.
Horton
Horton is a small coastal village on the Gower Peninsula in South Wales, known for its sandy beach and scenic views over the Bristol Channel.
-
D.
Horton
Horton is a small village and former civil parish in West Northamptonshire, England, known for its rural character and historic parish church.
-
E.
Horton
chosen
Horton is a surname most notably associated with American character actor and narrator Edward Everett Horton, known for his comedic roles in early Hollywood films and television.
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49eb3b881909da7f1c47c67c81f |
completed | April 29, 2026, 6:26 a.m. |
Created at: April 17, 2026, 5:36 p.m.