Triple

T11995280
Position Surface form Disambiguated ID Type / Status
Subject Tobey Maguire E285512 entity
Predicate coStarredWith P14987 FINISHED
Object Jake Gyllenhaal E303090 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: Jake Gyllenhaal | Statement: [Tobey Maguire, coStarredWith, Jake Gyllenhaal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jake Gyllenhaal
Context triple: [Tobey Maguire, coStarredWith, Jake Gyllenhaal]
  • A. Jake Gyllenhaal chosen
    Jake Gyllenhaal is an acclaimed American actor known for his intense, versatile performances in films ranging from independent dramas to major studio thrillers.
  • B. 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.
  • C. Gyllenhaal
    Gyllenhaal is a prominent Swedish-American family name best known for its association with actors Jake and Maggie Gyllenhaal.
  • D. Emile Hirsch
    Emile Hirsch is an American actor known for his intense performances in films such as "Into the Wild," "Milk," and "Lone Survivor."
  • E. Logan Lerman
    Logan Lerman is an American actor best known for his lead role in the "Percy Jackson" film series and performances in movies such as "The Perks of Being a Wallflower" and "Fury."
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b211688190bfe6dd15c3f96d2f completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48ad06350819094180403858db172 completed May 1, 2026, 11:13 a.m.
Created at: April 8, 2026, 9:46 p.m.