Triple

T7561118
Position Surface form Disambiguated ID Type / Status
Subject Kinsey E178795 entity
Predicate starring P1507 FINISHED
Object Peter Sarsgaard E147427 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: Peter Sarsgaard | Statement: [Kinsey, starring, Peter Sarsgaard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Sarsgaard
Context triple: [Kinsey, 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. 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.
  • C. Valter Skarsgård
    Valter Skarsgård is a Swedish actor and member of the prominent Skarsgård acting family, known for roles in film and television.
  • D. Stephen Gyllenhaal
    Stephen Gyllenhaal is an American film and television director and poet, known for directing dramas such as "Waterland" and for being the father of actors Jake and Maggie Gyllenhaal.
  • E. Stellan Skarsgård
    Stellan Skarsgård is a Swedish actor known for his versatile performances in international films and television, including major roles in projects like "Good Will Hunting," "Chernobyl," and the "Pirates of the Caribbean" and "Dune" franchises.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8f847c48190a1081aa9de7ff945 completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856d0cbfc8190b2cb2b601a7b078c completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:50 p.m.