Triple

T16232449
Position Surface form Disambiguated ID Type / Status
Subject Ίδη E394016 entity
Predicate associatedWithDeity P1481 FINISHED
Object Cronus E21426 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: Cronus | Statement: [Ίδη, associatedWithDeity, Cronus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cronus
Context triple: [Ίδη, associatedWithDeity, Cronus]
  • A. Cronus chosen
    Cronus is a Titan in Greek mythology best known for overthrowing his father Uranus and later being overthrown by his own son Zeus.
  • B. Cronos
    Cronos is a 1993 Mexican horror-fantasy film directed by Guillermo del Toro, noted for its inventive vampire mythology and atmospheric visual style.
  • C. Apollonius Cronus
    Apollonius Cronus was an ancient Greek philosopher of the Megarian school, known as a logician and teacher influential in the development of dialectical logic.
  • D. Kronos
    Kronos is a workforce management and human capital management software company known for its timekeeping, scheduling, and HR solutions for businesses.
  • E. Cretheus
    Cretheus is a figure in Greek mythology, a king of Iolcus and ancestor of the hero Jason.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d2b0cc48190853919135d5a172a completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0007a0ab08819082aea4c312c9ffc7 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:04 a.m.