Triple

T6563615
Position Surface form Disambiguated ID Type / Status
Subject We Were Soldiers E153845 entity
Predicate cinematographyBy P1953 FINISHED
Object Dean Semler E335263 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: Dean Semler | Statement: [We Were Soldiers, cinematographyBy, Dean Semler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dean Semler
Context triple: [We Were Soldiers, cinematographyBy, Dean Semler]
  • A. Dean Semler chosen
    Dean Semler is an Australian cinematographer renowned for his work on major Hollywood films, including the comedy sequel "Nutty Professor II: The Klumps."
  • B. Dean Riesner
    Dean Riesner was an American screenwriter best known for his work on films such as "Dirty Harry" and "Play Misty for Me."
  • C. Jack Keller
    Jack Keller was an American songwriter and producer associated with the Brill Building era, known for co-writing numerous pop hits in the 1960s.
  • D. David Keller
    David Keller is a fictional character from the film "The Names."
  • E. Eric Fellner
    Eric Fellner is a British film producer and co-chairman of Working Title Films, known for overseeing numerous successful UK and international movies.
  • 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_69c6ae3a40488190892d20ca0d60b937 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d55fa1bc81908f2929e835051532 completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:52 p.m.