Triple

T22891017
Position Surface form Disambiguated ID Type / Status
Subject Knight and Day E568039 entity
Predicate starring P1507 FINISHED
Object Peter Sarsgaard 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: Peter Sarsgaard | Statement: [Knight and Day, starring, Peter Sarsgaard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Sarsgaard
Context triple: [Knight and Day, starring, Peter Sarsgaard]
  • A. Peter Sarsgaard chosen
    Peter Sarsgaard is an American actor known for his nuanced supporting and character roles in films such as "Shattered Glass," "An Education," and "Jarhead."
  • B. James Denton
    James Denton is an American actor best known for playing plumber Mike Delfino on the television series "Desperate Housewives."
  • C. Lucas Reiner
    Lucas Reiner is an American painter, photographer, and filmmaker known for his contemplative urban and nature-themed artworks and for being part of the creative Reiner family.
  • D. Dermot Mulroney
    Dermot Mulroney is an American actor known for his versatile film and television roles, including prominent performances in romantic comedies and dramas since the late 1980s.
  • E. Eric Adkins
    Eric Adkins is a cinematographer best known for his work on the visually distinctive film "Sky Captain and the World of Tomorrow."
  • 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_69e2458c23ec81908fa2570692c6614f completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f17fc59e108190a22f90c2439830fb completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.