Triple

T22198186
Position Surface form Disambiguated ID Type / Status
Subject The Carter apartment complex E548601 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Nick Peretti 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: Nick Peretti | Statement: [The Carter apartment complex, associatedWithCharacter, Nick Peretti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Peretti
Context triple: [The Carter apartment complex, associatedWithCharacter, Nick Peretti]
  • A. Nick Peretti chosen
    Nick Peretti is a determined New York City detective from the film "New Jack City" who relentlessly pursues drug lord Nino Brown.
  • B. Karey Dornetto
    Karey Dornetto is an American television and film writer known for her work on acclaimed comedy series such as Portlandia, South Park, and Arrested Development.
  • C. Sam Koppelman
    Sam Koppelman is an American writer and political speechwriter known for co-authoring books with figures like Beto O’Rourke and for his work on voting rights and democracy.
  • D. Lee Eisenberg
    Lee Eisenberg is an American television writer and producer best known for his work on series such as The Office and Hello Ladies.
  • E. Paul Wernick
    Paul Wernick is an American screenwriter best known for co-writing the hit Deadpool films and other major Hollywood action-comedies.
  • 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12ae8c74c819080c7f9e8383ecaa7 completed April 28, 2026, 9:47 p.m.
Created at: April 16, 2026, 8:36 p.m.