Triple

T15063581
Position Surface form Disambiguated ID Type / Status
Subject Monster-in-Law E379698 entity
Predicate producer P490 FINISHED
Object Bruce Berman E458819 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: Bruce Berman | Statement: [Monster-in-Law, producer, Bruce Berman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruce Berman
Context triple: [Monster-in-Law, producer, Bruce Berman]
  • A. Bruce Berman chosen
    Bruce Berman is an American film producer and studio executive known for overseeing and producing numerous major Hollywood films.
  • B. Sam Drucker
    Sam Drucker is a recurring shopkeeper character in the rural-themed American sitcoms "Green Acres" and "Petticoat Junction," known for running the general store in the fictional town of Hooterville.
  • C. Dan Futterman
    Dan Futterman is an American actor and Academy Award–nominated screenwriter known for writing the film "Capote" and co-creating the TV series "In Treatment."
  • D. Alan Rothenberg
    Alan Rothenberg is an American sports executive and attorney best known for his leadership roles in U.S. soccer, including helping bring and organize the 1994 FIFA World Cup in the United States.
  • E. Peter Eisenman
    Peter Eisenman is an American architect and theorist known for his deconstructivist designs and intellectually rigorous, often controversial architectural works.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee803ac81908bb7d66e49c2eb72 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69feb7dd767c8190a129f00303f970bc completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:02 a.m.