Triple

T8458760
Position Surface form Disambiguated ID Type / Status
Subject Emily Thorne E199986 entity
Predicate residence P75 FINISHED
Object Southampton, New York E169267 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: Southampton, New York | Statement: [Emily Thorne, residence, Southampton, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southampton, New York
Context triple: [Emily Thorne, residence, Southampton, New York]
  • A. Southampton, New York chosen
    Southampton, New York is a historic seaside town on eastern Long Island known for its affluent Hamptons communities, beaches, and summer resort culture.
  • B. Newport, New York
    Newport, New York is a small village in Herkimer County known for its rural setting along West Canada Creek in central New York State.
  • C. Bristol, New York
    Bristol, New York is a small rural town in Ontario County known for its scenic Finger Lakes landscapes and outdoor recreation opportunities.
  • D. Melville, New York
    Melville, New York is a suburban hamlet on Long Island known for its corporate offices, light industry, and residential communities within the town of Huntington.
  • E. Richmond, New York
    Richmond, New York is a small rural town in Ontario County known for its Finger Lakes scenery and outdoor recreation opportunities.
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe49e036c8190abb50ca272266ca6 completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf27e1bda481909062b9259a168eb0 completed April 3, 2026, 2:37 a.m.
Created at: March 30, 2026, 6:10 p.m.