Triple

T6565296
Position Surface form Disambiguated ID Type / Status
Subject Bad Day at Black Rock E153887 entity
Predicate castMember P1668 FINISHED
Object Walter Sande E489046 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: Walter Sande | Statement: [Bad Day at Black Rock, castMember, Walter Sande]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Sande
Context triple: [Bad Day at Black Rock, castMember, Walter Sande]
  • A. Walter Sande chosen
    Walter Sande was an American character actor known for his prolific work in film and television from the 1930s through the 1960s, often appearing in Westerns and crime dramas.
  • B. Wolfram Eberhard
    Wolfram Eberhard was a German sociologist and sinologist known for his influential studies on Chinese society, folklore, and comparative civilization.
  • C. Edward Willis Redfield
    Edward Willis Redfield was an American Impressionist painter best known for his large, vigorous landscapes of the Pennsylvania countryside and the New Hope art colony.
  • D. Albert Samuel Gatschet
    Albert Samuel Gatschet was a 19th-century Swiss-American linguist and ethnologist known for his pioneering documentation of Native American languages and cultures.
  • E. James A. Matisoff
    James A. Matisoff is an American linguist renowned for his pioneering work on Sino-Tibetan historical linguistics and language reconstruction.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae3b9ec8819080f3052556d95810 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e42523848190b02682e6a640ac05 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:52 p.m.