Triple

T8766432
Position Surface form Disambiguated ID Type / Status
Subject Thank You for Smoking E208349 entity
Predicate editedBy P1954 FINISHED
Object Dana E. Glauberman E242460 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: Dana E. Glauberman | Statement: [Thank You for Smoking, editedBy, Dana E. Glauberman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dana E. Glauberman
Context triple: [Thank You for Smoking, editedBy, Dana E. Glauberman]
  • A. Dana Glauberman chosen
    Dana Glauberman is an American film editor known for her work on numerous high-profile feature films and collaborations with director Jason Reitman.
  • B. Michael A. Helfant
    Michael A. Helfant is a film producer and entertainment executive known for his work on genre and thriller projects, including the 2013 crime thriller "The Call."
  • C. Douglas L. Meyer
    Douglas L. Meyer is a theatrical producer best known for his work on the hit 2001 Broadway musical "The Producers."
  • D. Barry W. Blaustein
    Barry W. Blaustein is an American screenwriter and producer best known for co-writing hit Eddie Murphy comedies such as "Coming to America" and "The Nutty Professor" films.
  • E. Evan A. Lottman
    Evan A. Lottman was an American film editor known for his work on acclaimed films including the adaptation of "Sophie's Choice."
  • 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_69ca835df7e08190ac875664cca8f9ca completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ee97fd0819087ef8fe14b37ae43 completed March 31, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfc921d3408190a2f823473bf9b4bc completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:41 p.m.