Triple

T8659109
Position Surface form Disambiguated ID Type / Status
Subject Gil Evans E205500 entity
Predicate influenced P9 FINISHED
Object Maria Schneider E239017 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: Maria Schneider | Statement: [Gil Evans, influenced, Maria Schneider]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Schneider
Context triple: [Gil Evans, influenced, Maria Schneider]
  • A. Maria Schneider chosen
    Maria Schneider is a Grammy-winning American jazz composer and bandleader renowned for her innovative large-ensemble writing and genre-blending orchestral jazz.
  • B. Maria Schneider
    Maria Schneider was a French actress best known for her controversial and breakout role in Bernardo Bertolucci’s film "Last Tango in Paris."
  • C. Carmel Schneider
    Carmel Schneider is a troubled, insecure mother seeking transformation at a mysterious wellness retreat in Liane Moriarty’s novel (and its TV adaptation) "Nine Perfect Strangers."
  • D. Elsa Schneider
    Elsa Schneider is a fictional Austrian art historian and covert Nazi collaborator who appears as a central antagonist in the film "Indiana Jones and the Last Crusade."
  • E. Janine Schneider
    Janine Schneider is the wife of British character actor Eddie Marsan, known for his roles in film and television.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc486ece68819089c74bdf98b64490 completed March 31, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccf559c4819089dfb8d6b11de1df completed April 2, 2026, 8:09 p.m.
Created at: March 30, 2026, 6:30 p.m.