Triple

T11844666
Position Surface form Disambiguated ID Type / Status
Subject The Mortal Storm E281743 entity
Predicate editedBy P1954 FINISHED
Object Elmo Veron E135989 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: Elmo Veron | Statement: [The Mortal Storm, editedBy, Elmo Veron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elmo Veron
Context triple: [The Mortal Storm, editedBy, Elmo Veron]
  • A. Elmo Veron chosen
    Elmo Veron was a film editor known for his work on classic Hollywood productions, including the 1938 drama "Boys Town."
  • B. Elmo Lincoln
    Elmo Lincoln was an American silent film actor best known for being the first screen Tarzan, starring in the earliest film adaptations of Edgar Rice Burroughs' jungle hero.
  • C. Elmo Williams
    Elmo Williams was an American film editor and producer best known for his Academy Award–winning work on "High Noon" and contributions to numerous classic Hollywood films.
  • D. Elvin
    Elvin is a masculine given name most notably associated with Hall of Fame basketball player Elvin Hayes.
  • E. Tony Camillo
    Tony Camillo is an American record producer and arranger best known for his work on classic soul and R&B hits in the 1970s.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a65b5ff08190bb58361f6a6acdca completed April 10, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1679729c08190a9f6750586f90d8d completed April 29, 2026, 2:06 a.m.
Created at: April 8, 2026, 9:43 p.m.