Triple

T3772929
Position Surface form Disambiguated ID Type / Status
Subject Out of Sight E83237 entity
Predicate starring P1507 FINISHED
Object Steve Zahn E132905 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: Steve Zahn | Statement: [Out of Sight, starring, Steve Zahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve Zahn
Context triple: [Out of Sight, starring, Steve Zahn]
  • A. Steve Zahn chosen
    Steve Zahn is an American actor known for his comedic and character roles in films such as "That Thing You Do!", "Saving Silverman," and "Sahara," as well as in television and independent cinema.
  • B. Adam Brody
    Adam Brody is an American actor best known for his role as Seth Cohen on the television series "The O.C." and for appearances in various film and television projects.
  • C. Chris Penn
    Chris Penn was an American character actor known for his roles in films such as "Reservoir Dogs," "Footloose," and "True Romance."
  • D. David Arquette
    David Arquette is an American actor, filmmaker, and former professional wrestler best known for his role as Dewey Riley in the "Scream" horror film franchise.
  • E. Matthew Lillard
    Matthew Lillard is an American actor and director best known for his energetic, often comedic performances in films such as "Scream," "Scooby-Doo," and "Hackers."
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc57c9e48190a0f254e47348bf32 completed March 8, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e52bb2d08190b457dd517ff366d7 completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:36 p.m.