Triple

T7537657
Position Surface form Disambiguated ID Type / Status
Subject José Luis Castillo E178189 entity
Predicate defeated P4779 FINISHED
Object Stevie Johnston E672562 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: Stevie Johnston | Statement: [José Luis Castillo, defeated, Stevie Johnston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stevie Johnston
Context triple: [José Luis Castillo, defeated, Stevie Johnston]
  • A. Stevie Johnston chosen
    Stevie Johnston is an American former professional boxer and two-time WBC lightweight world champion known for his technical skill and toughness in the ring.
  • B. Leith Stevens
    Leith Stevens was an American composer and arranger best known for his dramatic film and radio scores, particularly in science fiction and adventure genres during the mid-20th century.
  • C. Alasdair Steedman
    Alasdair Steedman was a senior Royal Air Force officer who rose to high command, including leadership of the RAF’s Fighter Command.
  • D. Mitch Cullin
    Mitch Cullin is an American author known for his eclectic, often darkly imaginative fiction, including the novel that inspired the film "Tideland."
  • E. Geraldine James
    Geraldine James is an English actress known for her extensive work in film, television, and theatre, including acclaimed roles in productions such as "Made in Dagenham," "Gandhi," and "Downton Abbey."
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8710400819088e430c8c550577e completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8614c958081908021a0341dc29725 completed March 28, 2026, 11:16 p.m.
Created at: March 27, 2026, 3:48 p.m.