Triple

T5956133
Position Surface form Disambiguated ID Type / Status
Subject Polányi Mihály E132518 entity
Predicate influenced P9 FINISHED
Object Harry Prosch E235528 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: Harry Prosch | Statement: [Polányi Mihály, influenced, Harry Prosch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Prosch
Context triple: [Polányi Mihály, influenced, Harry Prosch]
  • A. Harry Prosch chosen
    Harry Prosch was an American philosopher best known for co-authoring "Meaning" with Michael Polanyi and for his work on the philosophy of religion and interpretation of Polanyi’s thought.
  • B. Harry Hitner
    Harry Hitner is a film editor known for his work on the movie "Rio."
  • C. Harvey Lembeck
    Harvey Lembeck was an American character actor and comedian best known for his roles in films like the "Beach Party" series and on television’s "The Phil Silvers Show."
  • D. Harold Huber
    Harold Huber was an American character actor known for his prolific work in 1930s and 1940s Hollywood films, often portraying suave or villainous supporting roles.
  • E. Harold Huth
    Harold Huth was a British film director, producer, and occasional actor active in the mid-20th century, known for his work in the British studio system.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039c1de80819085c97a0aa2d37f32 completed March 22, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11355c5e88190b316cf7f2f364eca completed March 23, 2026, 10:17 a.m.
Created at: March 22, 2026, 4:02 p.m.