Triple

T14765790
Position Surface form Disambiguated ID Type / Status
Subject Bad Words E346991 entity
Predicate starring P1507 FINISHED
Object Ben Falcone E342297 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: Ben Falcone | Statement: [Bad Words, starring, Ben Falcone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Falcone
Context triple: [Bad Words, starring, Ben Falcone]
  • A. Ben Falcone chosen
    Ben Falcone is an American actor, comedian, writer, and director known for his frequent collaborations with his wife Melissa McCarthy in film and television comedies.
  • B. Pierre Falcone
    Pierre Falcone is a French businessman best known for his central role in the Angolagate scandal involving illicit arms sales to Angola in the 1990s.
  • C. Tony Gallucci
    Tony Gallucci was the third husband of Hungarian-American socialite and actress Magda Gabor.
  • D. Tito Falconi
    Tito Falconi was an Italian military aviator who served as a prominent commander in the air force of the Italian Social Republic during World War II.
  • E. Carmine Falcone
    Carmine Falcone is a powerful Gotham City crime boss in the Batman universe, often depicted as a key figure in the city's organized crime and a major adversary to its law enforcement and vigilantes.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f576c881909da70627f5897c94 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cf4cef081909fa62125f43b36bc completed May 8, 2026, 4:19 p.m.
Created at: April 10, 2026, 1:30 a.m.