Triple

T6208052
Position Surface form Disambiguated ID Type / Status
Subject Annie Rose Buckley E138796 entity
Predicate hasFamilyName P18 FINISHED
Object Buckley E150638 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: Buckley | Statement: [Annie Rose Buckley, hasFamilyName, Buckley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buckley
Context triple: [Annie Rose Buckley, hasFamilyName, Buckley]
  • A. Buckley
    Buckley is a small city in Washington State known for its rural character and proximity to Mount Rainier.
  • B. Buckley chosen
    Buckley is a surname most prominently associated with William F. Buckley Jr., the influential American conservative author and founder of National Review.
  • C. Buckley
    Buckley is a small town in Flintshire, northeast Wales, known historically for its brickworks and coal mining industries.
  • D. Paxton
    Paxton is a small rural village in the Scottish Borders region of southeastern Scotland.
  • E. Paxton
    Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062870d5881909b8d4e33ff31a907 completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20da55e3c81909a61471b38e88894 completed March 24, 2026, 4:05 a.m.
Created at: March 22, 2026, 4:20 p.m.