Triple

T15064050
Position Surface form Disambiguated ID Type / Status
Subject K-19: The Widowmaker E379709 entity
Predicate producer P490 FINISHED
Object Edward S. Feldman NE NERFINISHED

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: Edward S. Feldman | Statement: [K-19: The Widowmaker, producer, Edward S. Feldman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward S. Feldman
Context triple: [K-19: The Widowmaker, producer, Edward S. Feldman]
  • A. Edward S. Feldman chosen
    Edward S. Feldman is an American film producer known for overseeing a range of notable movies across several decades, including acclaimed dramas and thrillers.
  • B. Charles K. Feldman
    Charles K. Feldman was a prominent American film producer and talent agent known for shaping major Hollywood projects and representing high-profile stars during the mid-20th century.
  • C. Frank E. Seidman
    Frank E. Seidman was an influential figure in the field of political economy, honored by a distinguished award that bears his name.
  • D. Edward A. Garmatz
    Edward A. Garmatz was a long-serving U.S. Congressman from Maryland who represented Baltimore in the House of Representatives in the mid-20th century.
  • E. Lewis J. Rachmil
    Lewis J. Rachmil was an American film and television producer known for his work on popular movies such as "Footloose."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee803ac81908bb7d66e49c2eb72 completed April 15, 2026, 12:42 a.m.
Created at: April 10, 2026, 3:02 a.m.