Triple

T15026813
Position Surface form Disambiguated ID Type / Status
Subject Leighton Meester E378238 entity
Predicate givenName P17 FINISHED
Object Leighton E167740 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: Leighton | Statement: [Leighton Meester, givenName, Leighton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leighton
Context triple: [Leighton Meester, givenName, Leighton]
  • A. Leighton chosen
    Leighton is a surname of English origin borne by various notable individuals across fields such as science, politics, and the arts.
  • B. Leighton
    Leighton is a small town located in Colbert County in the northwestern part of the U.S. state of Alabama.
  • C. North Leigh
    North Leigh is a rural village in Oxfordshire, England, known for its historic church and nearby Roman villa remains.
  • D. South Leigh
    South Leigh is a small rural village in Oxfordshire, England, known for its historic church and traditional English countryside setting.
  • E. Ashtead
    Ashtead is a large suburban village in Surrey, England, known for its residential character, local amenities, and proximity to the town of Leatherhead.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7dfcb508190aec8cd667e27a8ea completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dd746008190a7347368ee6d20cf completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:58 a.m.