Triple
T19172041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noah Huntley |
E469345
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Huntley |
—
|
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: Huntley | Statement: [Noah Huntley, familyName, Huntley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huntley Context triple: [Noah Huntley, familyName, Huntley]
-
A.
Huntley
chosen
Huntley is an English surname borne by various notable individuals, including actors, politicians, and public figures.
-
B.
Huntley, Illinois
Huntley, Illinois is a rapidly growing suburban village in the Chicago metropolitan area known for its residential communities and proximity to major transportation routes.
-
C.
Strouse
Strouse is a surname most notably associated with American composer Charles Strouse, known for his work in musical theatre and film.
-
D.
Hinsdale
Hinsdale is a small rural town in western Massachusetts known for its scenic Berkshire landscapes and outdoor recreation.
-
E.
Cudahy
Cudahy is a small, densely populated city in southeastern Los Angeles County, California, known for its predominantly Latino community and urban residential character.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f16481948190973067eb854da237 |
completed | April 20, 2026, 9:27 a.m. |
Created at: April 10, 2026, 12:06 p.m.