Triple

T10151314
Position Surface form Disambiguated ID Type / Status
Subject Daniel Huntington E232647 entity
Predicate familyName P18 FINISHED
Object Huntington E153272 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: Huntington | Statement: [Daniel Huntington, familyName, Huntington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huntington
Context triple: [Daniel Huntington, familyName, Huntington]
  • A. Huntington
    Huntington is a town on the north shore of Long Island in Suffolk County, New York, known for its historic downtown, waterfront, and cultural attractions.
  • B. Huntington chosen
    Huntington is a surname most prominently associated with Samuel P. Huntington, the influential American political scientist known for his work on civil-military relations and the "clash of civilizations" thesis.
  • C. Huntington
    Huntington is a major city in the Ohio Valley region, known as an important industrial and transportation hub along the Ohio River in West Virginia.
  • D. Huntington
    Huntington is a small historic town in Baker County, Oregon, known for its roots as a railroad and transportation hub along the Snake River.
  • E. Huntington
    Huntington is a small city in northern Indiana known for its historic downtown, manufacturing base, and proximity to Fort Wayne.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec0584a48190b65daa8370555c27 completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e640d1e0819094d30556ccb958b0 completed April 5, 2026, 10:46 p.m.
Created at: March 30, 2026, 9:08 p.m.