Triple

T9937129
Position Surface form Disambiguated ID Type / Status
Subject A Mighty Heart E193986 entity
Predicate title P38 FINISHED
Object A Mighty Heart E193986 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: A Mighty Heart | Statement: [A Mighty Heart, title, A Mighty Heart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A Mighty Heart
Context triple: [A Mighty Heart, title, A Mighty Heart]
  • A. A Mighty Heart chosen
    A Mighty Heart is a 2007 drama film based on the true story of journalist Daniel Pearl’s kidnapping, featuring Angelina Jolie as his wife Mariane Pearl.
  • B. Tears of the Sun
    Tears of the Sun is a 2003 war film starring Bruce Willis as a Navy SEAL leading a rescue mission in conflict-torn Nigeria.
  • C. Man on Fire
    Man on Fire is a 2004 action thriller film in which Denzel Washington plays a former CIA operative who seeks brutal revenge after the young girl he was hired to protect is kidnapped in Mexico City.
  • D. The Kite Runner (film)
    The Kite Runner is a 2007 drama film adaptation of Khaled Hosseini’s novel, depicting the complex friendship and betrayal between two boys in Afghanistan against the backdrop of political upheaval.
  • E. Lone Survivor
    Lone Survivor is a 2013 war film based on the true story of a Navy SEAL team’s ill-fated mission in Afghanistan, adapted from Marcus Luttrell’s memoir.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e4e19881909879b394090d6629 completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228e7247c81908dbba76199f2e93f completed April 5, 2026, 9:18 a.m.
Created at: March 30, 2026, 8:44 p.m.