Triple

T8421587
Position Surface form Disambiguated ID Type / Status
Subject Mars Attacks! E198867 entity
Predicate producer P490 FINISHED
Object Larry J. Franco E227851 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: Larry J. Franco | Statement: [Mars Attacks!, producer, Larry J. Franco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry J. Franco
Context triple: [Mars Attacks!, producer, 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. Rob Barraco
    Rob Barraco is an American keyboardist and vocalist best known for his work with Grateful Dead-related bands such as The Dead and Phil Lesh & Friends.
  • D. Anthony LoGerfo
    Anthony LoGerfo is an American drummer best known for his work with Lukas Nelson & Promise of the Real, including tours and recordings with Neil Young.
  • E. Frank Yaconelli
    Frank Yaconelli was an Italian-American character actor and musician known for his comic supporting roles in numerous Hollywood films from the 1930s and 1940s.
  • 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_69ca8312d63c8190bf133b676b44a385 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb84ca7b348190abab25e79b05407f completed March 31, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce035279f48190861b97167fa3882c completed April 2, 2026, 5:49 a.m.
Created at: March 30, 2026, 6:06 p.m.