Triple

T11285693
Position Surface form Disambiguated ID Type / Status
Subject Joanna Pettet E267179 entity
Predicate appearedIn P795 FINISHED
Object Banacek E534375 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: Banacek | Statement: [Joanna Pettet, appearedIn, Banacek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banacek
Context triple: [Joanna Pettet, appearedIn, Banacek]
  • A. Banacek chosen
    Banacek is a 1970s American television mystery series featuring George Peppard as a suave, Polish-American insurance investigator who solves seemingly impossible thefts.
  • B. Evilenko
    Evilenko is a 2004 psychological horror-thriller film loosely inspired by the crimes of Soviet serial killer Andrei Chikatilo.
  • C. Robert Barrat
    Robert Barrat was an American character actor known for his supporting roles in numerous Hollywood films from the 1930s through the 1950s.
  • D. Murck
    Murck is a character in Bertolt Brecht’s early expressionist play "Drums in the Night," which explores post–World War I disillusionment and social unrest.
  • E. B. A. Baracus
    B. A. Baracus is the tough, gold-chain-wearing mechanic and muscle of the A-Team, known for his mohawk, fear of flying, and catchphrases.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9855e8881909bd301718cbd8ca1 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f48070ac8190b0e4d49f42ac3896 completed April 19, 2026, 3:28 p.m.
Created at: April 8, 2026, 9:31 p.m.