Triple

T835776
Position Surface form Disambiguated ID Type / Status
Subject I'm Not There E18065 entity
Predicate starred P5563 FINISHED
Object Heath Ledger E82624 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: Heath Ledger | Statement: [I'm Not There, starred, Heath Ledger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heath Ledger
Context triple: [I'm Not There, starred, Heath Ledger]
  • A. Heath Ledger chosen
    Heath Ledger was an acclaimed Australian actor renowned for his intense and transformative performances, most famously as the Joker in "The Dark Knight."
  • B. Philip Seymour Hoffman
    Philip Seymour Hoffman was an acclaimed American actor known for his intense, character-driven performances in films such as "Capote," "The Master," and "Synecdoche, New York."
  • C. Johnny Depp
    Johnny Depp is an American actor known for his eclectic, often eccentric roles in films such as the "Pirates of the Caribbean" series, "Edward Scissorhands," and numerous collaborations with director Tim Burton.
  • D. Joaquin Phoenix
    Joaquin Phoenix is an acclaimed American actor known for his intense, transformative performances in films such as "Joker," "Walk the Line," and "The Master."
  • E. Guy Pearce
    Guy Pearce is an Australian actor known for his versatile performances in films such as "Memento," "L.A. Confidential," and "The King's Speech."
  • 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_69a49389f44881909a608fb27d89f247 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abce08348190b716e3ce5a638f99 completed March 1, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d9cddb48190b0d297c2cc9f3b3c completed March 3, 2026, 11:24 p.m.
Created at: March 1, 2026, 7:38 p.m.