Triple

T3786458
Position Surface form Disambiguated ID Type / Status
Subject Mission: Impossible III E85541 entity
Predicate producer P490 FINISHED
Object Paula Wagner E312597 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: Paula Wagner | Statement: [Mission: Impossible III, producer, Paula Wagner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paula Wagner
Context triple: [Mission: Impossible III, producer, Paula Wagner]
  • A. Paula Wagner chosen
    Paula Wagner is an American film producer and former talent agent best known for her longtime collaboration with Tom Cruise and co-founding Cruise/Wagner Productions.
  • B. Paula Braun
    Paula Braun is an American health IT and data science expert known for her work modernizing public health surveillance and analytics, including at the U.S. Centers for Disease Control and Prevention (CDC).
  • C. Anna Steiger
    Anna Steiger is a British operatic mezzo-soprano known for her performances with major European opera companies and for being the daughter of actress Claire Bloom and actor Rod Steiger.
  • D. Cynthia Ludwig
    Cynthia Ludwig is a film editor known for her work on the 2009 horror film "My Bloody Valentine 3D."
  • E. Claudia Zimmer
    Claudia Zimmer is the central protagonist of the work "The Four Seasons," around whose experiences and perspective the story primarily revolves.
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee42d2bc88190ab85529fcd1aa20a completed March 9, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503eca8408190ae35aeffc2dc1e6c completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:13 p.m.