Triple

T21374388
Position Surface form Disambiguated ID Type / Status
Subject Roberta Pike E527158 entity
Predicate familyName P18 FINISHED
Object Pike NE NERFINISHED

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: Pike | Statement: [Roberta Pike, familyName, Pike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pike
Context triple: [Roberta Pike, familyName, Pike]
  • A. Pike chosen
    Pike is an English surname of Old English origin, often associated with people who lived near a pointed hill or carried a pike as a weapon.
  • B. Pike of Stickle
    Pike of Stickle is a prominent, steep-sided peak in England’s Lake District, famed for its distinctive conical shape and classic hiking and scrambling routes.
  • C. Pikes
    Pikes is a character in Ray Bradbury’s “Usher II,” part of *The Martian Chronicles*, known for helping stage a macabre, revenge-driven recreation of Edgar Allan Poe’s gothic horrors.
  • D. Chub
    Chub is a common nickname, notably associated with longtime Major League Baseball executive Chub Feeney.
  • E. Creel
    Creel is a surname most notably associated with George Creel, the American journalist and head of the U.S. Committee on Public Information during World War I.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0b3666c8190a83bb32eeba24105 completed April 22, 2026, 11:27 a.m.
Created at: April 16, 2026, 5:10 p.m.