Triple

T28893795
Position Surface form Disambiguated ID Type / Status
Subject Nesite language E732783 entity
Predicate keyDecipherer P87147 FINISHED
Object Bedřich Hrozný 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: Bedřich Hrozný | Statement: [Nesite language, keyDecipherer, Bedřich Hrozný]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: keyDecipherer
Context triple: [Nesite language, keyDecipherer, Bedřich Hrozný]
  • A. coDecipherer
    Indicates that two or more entities jointly participated in deciphering or decoding something together.
  • B. deciphers chosen
    Indicates the action of successfully interpreting or figuring out the meaning of something that is difficult to understand or encoded.
  • C. cipherKey
    Indicates that one entity serves as the cryptographic key used to encrypt or decrypt information associated with another entity.
  • D. keyDecree
    Indicates that an authoritative or foundational decree, order, or ruling is issued, establishing a key directive or rule in a given context.
  • E. keyIdentifier
    Indicates that one entity serves as a unique key or identifying code used to distinguish or reference another entity.
  • F. None of above.

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_69f05b08c2008190ac426a035a2ed66d completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65aa1fe148190bf4e4f3f8c5adc47 completed May 2, 2026, 8:12 p.m.
PD Predicate disambiguation batch_69f6576487e081908d802f1caf59c423 completed May 2, 2026, 7:58 p.m.
Created at: April 28, 2026, 7:57 a.m.