Triple

T15958879
Position Surface form Disambiguated ID Type / Status
Subject Cruise/Wagner Productions E387006 entity
Predicate coFounder P2835 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: [Cruise/Wagner Productions, coFounder, Paula Wagner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paula Wagner
Context triple: [Cruise/Wagner Productions, coFounder, 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 Wolff
    Paula Wolff was the later-life alias of Paula Hitler, the younger sister of Adolf Hitler who lived a largely private and obscure life after World War II.
  • C. Paula Winkler
    Paula Winkler was a German-Jewish writer and intellectual who collaborated closely with her husband, the philosopher and theologian Martin Buber.
  • D. Ann Wagner
    Ann Wagner is the mother of American actress and businesswoman Priscilla Presley.
  • E. Paula Wessely
    Paula Wessely was a renowned Austrian stage and film actress of the 20th century, celebrated as one of the most prominent performers in German-language cinema and theatre.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fd7ce08190b5db4b486ccb6e40 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3c3aae081909366c01b3fec4d47 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:53 a.m.