Triple

T21866548
Position Surface form Disambiguated ID Type / Status
Subject The Four Aces E539896 entity
Predicate notableWork P4 FINISHED
Object Perfidia 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: Perfidia | Statement: [The Four Aces, notableWork, Perfidia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perfidia
Context triple: [The Four Aces, notableWork, Perfidia]
  • A. Perfidia
    Perfidia is a crime novel by James Ellroy that serves as a sprawling, noir prequel to his L.A. Quartet, set in Los Angeles during the days surrounding the attack on Pearl Harbor.
  • B. Perfidia chosen
    "Perfidia" is an instrumental surf rock rendition of the classic song, popularized by the American band The Ventures.
  • C. Treachery
    Treachery is a 2013 independent drama thriller film exploring betrayal and strained family relationships, directed by Michael Biehn.
  • D. La Traición
    La Traición is a Colombian telenovela best known for featuring actress María Cecilia Botero in a prominent role.
  • E. Betrayal
    Betrayal is an American drama television series centered on an extramarital affair that spirals into a complex web of crime, loyalty, and moral conflict.
  • 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_69e0c478f59081909d54302b57fc1ce3 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0d63f2ec48190956a3e99d8f98b1f completed April 28, 2026, 3:46 p.m.
Created at: April 16, 2026, 6:56 p.m.