Triple

T13830958
Position Surface form Disambiguated ID Type / Status
Subject The Proposal E332396 entity
Predicate producer P490 FINISHED
Object Todd Lieberman E294124 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: Todd Lieberman | Statement: [The Proposal, producer, Todd Lieberman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Todd Lieberman
Context triple: [The Proposal, producer, Todd Lieberman]
  • A. Todd Lieberman chosen
    Todd Lieberman is an American film producer known for his work on acclaimed movies such as "The Fighter" and other major Hollywood productions.
  • B. David William Lieberman
    David William Lieberman, better known by his stage name Hank Mann, was a prominent silent film comedian and one of the original Keystone Cops.
  • C. Hal Lieberman
    Hal Lieberman is an American film producer known for working on major Hollywood movies, including the science fiction action sequel "Terminator 3: Rise of the Machines."
  • D. Andrew Weisblum
    Andrew Weisblum is an American film editor known for his work on major feature films, including collaborations with directors like Darren Aronofsky and Wes Anderson.
  • E. Robert Lieberman
    Robert Lieberman is a Canadian-American film and television director known for directing movies such as "D3: The Mighty Ducks" and numerous episodes of popular TV series.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0299334481908c2b271eaf06e4b7 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69fda9009ce88190b77c8f02f38107e1 completed May 8, 2026, 9:12 a.m.
Created at: April 9, 2026, 10:13 p.m.