Triple

T19298288
Position Surface form Disambiguated ID Type / Status
Subject Tig Productions E482624 entity
Predicate notableWork P4 FINISHED
Object The Postman NE NERFINISHED

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: The Postman | Statement: [Tig Productions, notableWork, The Postman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Postman
Context triple: [Tig Productions, notableWork, The Postman]
  • A. The Postman
    The Postman is a 1997 post-apocalyptic drama film set in a dystopian future United States, in which a drifter becomes a symbol of hope and rebuilding for scattered communities.
  • B. The Postman chosen
    The Postman is a post-apocalyptic science fiction novel by David Brin that follows a drifter who inadvertently becomes a symbol of hope and rebuilding civilization in a ravaged America.
  • C. Places in the Heart
    Places in the Heart is a 1984 American drama film set in Depression-era Texas, focusing on a widow’s struggle to save her farm and family.
  • D. The Postman Didn't Ring
    The Postman Didn't Ring is a 1942 American romantic comedy film best known for starring Brenda Joyce in a lighthearted story about undelivered letters that change people’s lives years later.
  • E. The Volunteer
    The Volunteer is a film directed by Nigerian-American filmmaker Julius Onah, known for his character-driven storytelling and work on movies like The Cloverfield Paradox and Luce.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc86f8648190920d122bb141c6e5 completed April 20, 2026, 10:14 a.m.
Created at: April 10, 2026, 1:31 p.m.