Triple

T10026193
Position Surface form Disambiguated ID Type / Status
Subject The Battle of the Sexes (1914 film) E200730 entity
Predicate cinematographyBy P1953 FINISHED
Object G. W. Bitzer E221095 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: G. W. Bitzer | Statement: [The Battle of the Sexes (1914 film), cinematographyBy, G. W. Bitzer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: G. W. Bitzer
Context triple: [The Battle of the Sexes (1914 film), cinematographyBy, G. W. Bitzer]
  • A. G. W. Bitzer chosen
    G. W. Bitzer was a pioneering early American cinematographer best known for his influential collaboration with director D. W. Griffith on landmark silent films.
  • B. R. G. Tifft
    R. G. Tifft is an astronomer known for his work on galaxy observations, including the discovery of the Tucana Dwarf Galaxy.
  • C. J. G. Quintel
    J. G. Quintel is an American animator, writer, and voice actor best known for creating the Cartoon Network series "Regular Show."
  • D. Alan E. Nourse
    Alan E. Nourse was an American science fiction author and physician known for works that often explored medical and social themes, including the novel "The Bladerunner."
  • E. E.C. Englert
    E.C. Englert was an entrepreneur and theater owner best known for establishing the historic Englert Theatre in Iowa City, Iowa.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcde2009081908eddda7813617df4 completed April 2, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26ac2f14081908deaf3945491af78 completed April 5, 2026, 1:59 p.m.
Created at: March 30, 2026, 8:54 p.m.