Triple

T21527437
Position Surface form Disambiguated ID Type / Status
Subject Oliver Quick E531131 entity
Predicate isObsessedWith P49999 FINISHED
Object Felix Catton 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: Felix Catton | Statement: [Oliver Quick, isObsessedWith, Felix Catton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Felix Catton
Context triple: [Oliver Quick, isObsessedWith, Felix Catton]
  • A. Felix Catton chosen
    Felix Catton is a wealthy, charismatic Oxford student whose hedonistic lifestyle and dark secrets drive the psychological thriller film "Saltburn."
  • B. John Fagan
    John Fagan is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Fagan.
  • C. Felix Miller
    Felix Miller is a co-founder of Last.fm, the pioneering online music recommendation and streaming service.
  • D. Frank Catton
    Frank Catton is a charismatic con artist and casino employee who is part of Danny Ocean’s heist crew in the Ocean’s film series.
  • E. Felix Gillie
    Felix Gillie is a bumbling yet endearing assistant to an unscrupulous undertaker in the 1963 horror-comedy film "The Comedy of Terrors."
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee88522e948190b9fa5a3587f32eae completed April 26, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:26 p.m.