Triple

T8941123
Position Surface form Disambiguated ID Type / Status
Subject David Tattersall E212900 entity
Predicate notableWork P4 FINISHED
Object The Postman E109415 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: The Postman | Statement: [David Tattersall, notableWork, The Postman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Postman
Context triple: [David Tattersall, notableWork, The Postman]
  • A. The Postman
    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.
  • B. The Postman chosen
    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.
  • 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. Butterfield 8
    Butterfield 8 is a 1960 drama film starring Elizabeth Taylor as a troubled New York call girl, a role that earned her an Academy Award for Best Actress.
  • E. Last Chance Store
    The Last Chance Store is a historic 19th-century trading post in Council Grove, Kansas, that served as one of the final supply stops for travelers on the Santa Fe Trail.
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b9c14c8190b80c3df0cdba2747 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1efdea881908b2c264d1c39c6ec completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:58 p.m.