Triple

T9999661
Position Surface form Disambiguated ID Type / Status
Subject Sam Taylor-Johnson E197290 entity
Predicate directed P7373 FINISHED
Object A Million Little Pieces (film) E833918 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 Million Little Pieces (film) | Statement: [Sam Taylor-Johnson, directed, A Million Little Pieces (film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A Million Little Pieces (film)
Context triple: [Sam Taylor-Johnson, directed, A Million Little Pieces (film)]
  • A. A Million Little Pieces (film) chosen
    A Million Little Pieces is a 2018 drama film adaptation of James Frey’s controversial addiction memoir, focusing on a young writer’s harrowing journey through rehab and self-destruction.
  • B. The Hurt Inside
    "The Hurt Inside" is a song featured on the Weeknd's critically acclaimed 2020 album "After Hours."
  • C. Smashed
    Smashed is an independent film produced by Andrea Sperling, best known as a raw, character-driven drama about addiction and recovery.
  • D. Smashed
    Smashed is a memoir by Jonathan Schwartz that recounts his personal experiences and struggles, likely focusing on themes of addiction and recovery.
  • E. Black Book
    Black Book is a 2006 Dutch World War II thriller film directed by Paul Verhoeven, acclaimed for its gripping espionage story and moral complexity.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcc8dc9c081909b6d20909ada09cf completed April 2, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a36aadc81909978b71bdb3a6654 completed April 5, 2026, 1:57 p.m.
Created at: March 30, 2026, 8:51 p.m.