Triple

T20347787
Position Surface form Disambiguated ID Type / Status
Subject Asterix et Obélix contre César E495917 entity
Predicate producer P490 FINISHED
Object Thomas Langmann 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: Thomas Langmann | Statement: [Asterix et Obélix contre César, producer, Thomas Langmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Langmann
Context triple: [Asterix et Obélix contre César, producer, Thomas Langmann]
  • A. Thomas Langmann chosen
    Thomas Langmann is a French film producer and actor best known for producing the Academy Award–winning silent film "The Artist."
  • B. Arthur Lange
    Arthur Lange was an American composer and arranger known for his prolific work on film scores during the early 20th century Hollywood era.
  • C. Thomas Eichhorst
    Thomas Eichhorst is a high-ranking Nazi-turned-vampiric servant of the Master in "The Strain," known as the longtime nemesis of Abraham Setrakian.
  • D. Philip Langner
    Philip Langner was an American theater and film producer best known for his work on influential mid-20th-century stage and screen productions.
  • E. Robert Hanhart
    Robert Hanhart is a classical philologist and biblical scholar known for his work on the Septuagint and critical editions of ancient Greek texts.
  • 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67839e7b48190876ce7133a20c65b completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.