Triple

T20900760
Position Surface form Disambiguated ID Type / Status
Subject Batman: Gotham Knight E514661 entity
Predicate producer P490 FINISHED
Object Emma Thomas NE NERFINISHED

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: Emma Thomas | Statement: [Batman: Gotham Knight, producer, Emma Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emma Thomas
Context triple: [Batman: Gotham Knight, producer, Emma Thomas]
  • A. Emma Thomas chosen
    Emma Thomas is a British film producer best known for her long-running collaboration with director Christopher Nolan on major films such as Inception, The Dark Knight trilogy, and Oppenheimer.
  • B. Anna Thomas
    Anna Thomas is an American screenwriter and film producer best known for co-writing the acclaimed film "Frida" and for her influential work in independent cinema.
  • C. Sarah Megan Thomas
    Sarah Megan Thomas is an American actress, writer, and producer known for creating and starring in female-driven films such as "Equity" and "A Call to Spy."
  • D. Samantha Thomas
    Samantha Thomas is a television producer best known as the wife of English actor Charlie Cox.
  • E. Danielle Thomas
    Danielle Thomas was the second wife of bestselling adventure novelist Wilbur Smith, remembered for her influence on his personal life and writing career.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e8fa5228819084341dbc813cc1e3 completed April 21, 2026, 3:03 a.m.
Created at: April 16, 2026, 12:47 p.m.