Triple

T19455369
Position Surface form Disambiguated ID Type / Status
Subject They Live E486719 entity
Predicate producedBy P490 FINISHED
Object Larry J. Franco 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: Larry J. Franco | Statement: [They Live, producedBy, Larry J. Franco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry J. Franco
Context triple: [They Live, producedBy, Larry J. Franco]
  • A. Frank J. Urioste
    Frank J. Urioste is an American film editor known for his work on major action and genre films, including blockbusters like Die Hard, RoboCop, and Total Recall.
  • B. Larry Franco chosen
    Larry Franco is an American film producer known for his work on major Hollywood movies, including action, science fiction, and comic book adaptations.
  • C. Larry Maretto
    Larry Maretto is a character in the dark comedy film "To Die For," portrayed as the unsuspecting husband whose murder becomes the focus of his ambitious wife's deadly schemes.
  • D. Frank C. Ortis
    Frank C. Ortis is an American politician best known for serving as the long-time mayor of Pembroke Pines, Florida.
  • E. Ross A. Lurgio
    Ross A. Lurgio was a local figure of significance—likely an educator or community leader in Bedford, New Hampshire—honored by having the town’s middle school named after him.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c2b1108190b492ca23487b91f8 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.