Triple

T4951746
Position Surface form Disambiguated ID Type / Status
Subject The Criterion E111183 entity
Predicate hasContributor P4244 FINISHED
Object Thomas Mann E6705 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: Thomas Mann | Statement: [The Criterion, hasContributor, Thomas Mann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Mann
Context triple: [The Criterion, hasContributor, Thomas Mann]
  • A. Thomas Mann chosen
    Thomas Mann was a German novelist, short story writer, and essayist renowned for works like "Buddenbrooks" and "The Magic Mountain," which explore the psychology and moral crises of modern European society.
  • B. Thomas Mann
    Thomas Mann is an American actor known for his roles in films such as "Kong: Skull Island," "Project X," and "Me and Earl and the Dying Girl."
  • C. Heinrich Mann
    Heinrich Mann was a prominent German novelist and essayist known for his socially critical works and opposition to authoritarianism in the early 20th century.
  • D. Hermann Hess
    Hermann Hess was a mountaineer known for making the first recorded ascent of Monte San Valentín, the highest peak in Chilean Patagonia.
  • E. Heinrich Böll
    Heinrich Böll was a German writer and Nobel Prize–winning novelist known for his critical portrayals of postwar German society.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71b6a5d481909ad6f5e0b752496c completed March 20, 2026, 4:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81d3d9548190ae0a34549eb88036 completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:31 p.m.