Triple

T11320036
Position Surface form Disambiguated ID Type / Status
Subject Sarah Polley E268068 entity
Predicate directed P7373 FINISHED
Object Stories We Tell E847460 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: Stories We Tell | Statement: [Sarah Polley, directed, Stories We Tell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stories We Tell
Context triple: [Sarah Polley, directed, Stories We Tell]
  • A. Stories We Tell chosen
    Stories We Tell is a critically acclaimed Canadian documentary film by Sarah Polley that explores family secrets and the nature of memory and storytelling.
  • B. Stories That Matter
    Stories That Matter is the guiding motto of the Peabody Awards, emphasizing their focus on honoring impactful and socially significant storytelling in media.
  • C. Some Stories
    Some Stories is a collection of short works included within Hannah Arendt’s philosophical study The Human Condition.
  • D. Tell A Story
    "Tell A Story" is a song by the American rock band Blue Collar.
  • E. Three Stories
    "Three Stories" is a 1997 Russian-language anthology film by Ukrainian director Kira Muratova, known for its darkly absurd, morally unsettling tales that explore human cruelty and alienation.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9de875481908acfa56015d4b46f completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e543055b588190a417b3d50ade989a completed April 19, 2026, 9:03 p.m.
Created at: April 8, 2026, 9:32 p.m.