Triple

T15267013
Position Surface form Disambiguated ID Type / Status
Subject Gloria Talbott E364925 entity
Predicate familyName P18 FINISHED
Object Talbott E824178 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: Talbott | Statement: [Gloria Talbott, familyName, Talbott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Talbott
Context triple: [Gloria Talbott, familyName, Talbott]
  • A. Talbott chosen
    Talbott is an unincorporated community in Hamblen County, Tennessee, known primarily as a residential area near the city of Morristown.
  • B. Buckley
    Buckley is a small city in Washington State known for its rural character and proximity to Mount Rainier.
  • C. Buckley
    Buckley is a surname most prominently associated with William F. Buckley Jr., the influential American conservative author and founder of National Review.
  • D. Buckley
    Buckley is a small town in Flintshire, northeast Wales, known historically for its brickworks and coal mining industries.
  • E. Rutledge
    Rutledge is a small town in eastern Tennessee that serves as the county seat of Grainger County within the Knoxville metropolitan area.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00851c5b88190a296b6a105d3ee30 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee600340c8190a1888d35c2c1bc86 completed May 9, 2026, 7:45 a.m.
Created at: April 10, 2026, 3:14 a.m.