Triple

T9781135
Position Surface form Disambiguated ID Type / Status
Subject Z Nation E237373 entity
Predicate executiveProducer P7225 FINISHED
Object David Michael Latt E460631 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: David Michael Latt | Statement: [Z Nation, executiveProducer, David Michael Latt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Michael Latt
Context triple: [Z Nation, executiveProducer, David Michael Latt]
  • A. David Michael Latt chosen
    David Michael Latt is an American film producer, director, and co-founder of the low-budget production company The Asylum, known for mockbusters and genre films.
  • B. Brian Latture
    Brian Latture is a music producer known for his work on LL Cool J’s 1989 hip hop album "Walking with a Panther."
  • C. Matt Lattanzi
    Matt Lattanzi is an American actor and former dancer best known for his roles in 1980s films and for his marriage to singer and actress Olivia Newton-John.
  • D. Andrew DeLuca
    Andrew DeLuca is a fictional surgical resident and later attending surgeon on the television series Grey’s Anatomy, known for his complex personal struggles and romantic relationships with key characters.
  • E. Matthew Aldrich
    Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b23cb88190b458ab18d5f7f493 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd2e5f4c81908a3c132df6440947 completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:27 p.m.