Triple

T22079322
Position Surface form Disambiguated ID Type / Status
Subject Steve Zissis E545604 entity
Predicate collaboratesWith P37 FINISHED
Object Jay Duplass 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: Jay Duplass | Statement: [Steve Zissis, collaboratesWith, Jay Duplass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jay Duplass
Context triple: [Steve Zissis, collaboratesWith, Jay Duplass]
  • A. Jay Duplass chosen
    Jay Duplass is an American filmmaker and actor known for his work in independent cinema and television, often collaborating with his brother Mark Duplass.
  • B. Mark Duplass
    Mark Duplass is an American actor, writer, director, and producer known for his work in independent film and television, including co-creating the HBO series "Togetherness" and starring in numerous mumblecore and comedy-dramas.
  • C. Lawrence Duplass
    Lawrence Duplass is a member of the Duplass family, related to American filmmaker and actor Jay Duplass.
  • D. Joe Swanberg
    Joe Swanberg is an American independent filmmaker and actor known for his low-budget, improvisational “mumblecore” films exploring relationships and everyday life.
  • E. Justin Theroux
    Justin Theroux is an American actor, screenwriter, and director known for roles in films like "Mulholland Drive" and the series "The Leftovers," as well as for co-writing comedies such as "Tropic Thunder" and "Iron Man 2."
  • 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_69e11e3523488190badd54b5d580c00d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128b43df0819090c248ded98fad12 completed April 28, 2026, 9:37 p.m.
Created at: April 16, 2026, 8:28 p.m.