Triple

T22355716
Position Surface form Disambiguated ID Type / Status
Subject Lara Worthington E552646 entity
Predicate hasChild P369 FINISHED
Object Racer Worthington 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: Racer Worthington | Statement: [Lara Worthington, hasChild, Racer Worthington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Racer Worthington
Context triple: [Lara Worthington, hasChild, Racer Worthington]
  • A. Racer Worthington chosen
    Racer Worthington is the son of Australian actor Sam Worthington.
  • B. Arthur Worthington
    Arthur Worthington was a 19th-century religious impostor and founder of the New Zealand-based cult known as the Temple of Truth.
  • C. Sidney Worthington
    Sidney Worthington is a person notable enough to be recognized as a distinguished bearer of the Worthington surname.
  • D. Frank Worthington
    Frank Worthington was an English professional footballer best known as a flamboyant forward who played for clubs such as Leicester City and Bolton Wanderers during the 1970s and 1980s.
  • E. Organ Morgan
    Organ Morgan is a comically obsessive, music-entranced organist in Dylan Thomas’s radio play *Under Milk Wood*.
  • 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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157cf94508190b0f2c63ddfecb813 completed April 29, 2026, 12:58 a.m.
Created at: April 16, 2026, 8:44 p.m.