Triple

T6889410
Position Surface form Disambiguated ID Type / Status
Subject Amy Madigan E159006 entity
Predicate appearedInFilm P795 FINISHED
Object Gone Baby Gone E50431 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: Gone Baby Gone | Statement: [Amy Madigan, appearedInFilm, Gone Baby Gone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gone Baby Gone
Context triple: [Amy Madigan, appearedInFilm, Gone Baby Gone]
  • A. Gone Baby Gone chosen
    Gone Baby Gone is a 2007 crime drama film directed by Ben Affleck, following two private investigators searching for a missing girl in a morally complex Boston neighborhood.
  • B. Mystic River
    Mystic River is a 2003 crime drama film directed by Clint Eastwood, known for its dark exploration of childhood trauma and moral ambiguity in a working-class Boston neighborhood.
  • C. Mystic River
    Mystic River is a tidal estuary in the Greater Boston area of Massachusetts, historically significant for shipbuilding and industrial activity along its banks.
  • D. Blow
    Blow is a 2001 crime drama film that chronicles the rise and fall of American cocaine smuggler George Jung within the 1970s–1980s drug trade.
  • E. Serpico
    Serpico is a 1973 crime drama film based on the true story of NYPD officer Frank Serpico, who exposed widespread police corruption.
  • 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_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d9117c84819093dad7b765337b63 completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748cc2f908190b593cd82133a7b16 completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:23 p.m.