Triple

T20390527
Position Surface form Disambiguated ID Type / Status
Subject Universal Soldier E498071 entity
Predicate producer P490 FINISHED
Object Allen Shapiro 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: Allen Shapiro | Statement: [Universal Soldier, producer, Allen Shapiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allen Shapiro
Context triple: [Universal Soldier, producer, Allen Shapiro]
  • A. Allen Shapiro chosen
    Allen Shapiro is an American entertainment executive and film producer known for his work on projects such as the Western film "The Quick and the Dead."
  • B. Luke Shapiro
    Luke Shapiro is the teenage marijuana dealer and emotionally troubled protagonist of the coming-of-age film "The Wackness," set in 1990s New York City.
  • C. Alan Kushner
    Alan Kushner is an individual notable enough to be specifically distinguished from others sharing the surname Kushner, though widely recognized public details about him are limited.
  • D. Alan Shapiro
    Alan Shapiro was an American film and television director and screenwriter best known for his work on family and genre films in the 1980s and 1990s.
  • E. Richard Shapiro
    Richard Shapiro is an American television writer and producer best known for co-creating the hit 1980s prime-time soap opera "Dynasty."
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790f8d9c819093038f6bb6f47a92 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.