Triple

T9914733
Position Surface form Disambiguated ID Type / Status
Subject Hellcats of the Navy E185838 entity
Predicate cinematographyBy P1953 FINISHED
Object Henry Freulich E719495 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: Henry Freulich | Statement: [Hellcats of the Navy, cinematographyBy, Henry Freulich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Freulich
Context triple: [Hellcats of the Navy, cinematographyBy, Henry Freulich]
  • A. Henry Freulich chosen
    Henry Freulich was an American cinematographer known for his extensive work on Hollywood films from the 1930s through the 1950s, particularly at Columbia Pictures.
  • B. Samuel Ehrlich
    Samuel Ehrlich is an individual notable enough to be recognized as a prominent bearer of the surname Ehrlich.
  • C. Alfred Gunzenhauser
    Alfred Gunzenhauser was a German art collector whose extensive collection of modern art became the foundation of the Museum Gunzenhauser in Chemnitz.
  • D. Julius C. Boehm
    Julius C. Boehm was an architect known for his work on the design of the South Carolina State House.
  • E. Leonard Frey
    Leonard Frey was an American actor best known for his Academy Award–nominated performance as Motel the tailor in the film adaptation of the musical "Fiddler on the Roof."
  • 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb53ba1ac8190ba655133b81596d7 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d354c521dc819084b09c9a57c1a26c completed April 6, 2026, 6:37 a.m.
Created at: March 30, 2026, 8:41 p.m.