Triple

T13699883
Position Surface form Disambiguated ID Type / Status
Subject A Scanner Darkly E328487 entity
Predicate productionCompany P490 FINISHED
Object Thousand Words E512500 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: Thousand Words | Statement: [A Scanner Darkly, productionCompany, Thousand Words]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thousand Words
Context triple: [A Scanner Darkly, productionCompany, Thousand Words]
  • A. Thousand Words chosen
    Thousand Words is an American film production company known for backing independent and critically acclaimed movies such as "Requiem for a Dream."
  • B. The Words
    The Words is Jean-Paul Sartre’s autobiographical work in which he reflects on his childhood and the development of his literary and philosophical identity.
  • C. The Words
    The Words is a 2012 drama film about a struggling writer who achieves fame by passing off another man's manuscript as his own, exploring themes of authorship, guilt, and moral consequence.
  • D. No More Words
    "No More Words" is a memoir by Reeve Lindbergh reflecting on the final years and declining health of her mother, aviator and author Anne Morrow Lindbergh.
  • E. Only These Words
    "Only These Words" is a song featured on the album *Higher Truth* by Chris Cornell.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc879adc88190b03f1cf815b71061 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794559e9c81909ef8a6d9b9f480b3 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.