Triple

T6393258
Position Surface form Disambiguated ID Type / Status
Subject Dictys E143878 entity
Predicate spouse P13 FINISHED
Object Clymene E4627 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: Clymene | Statement: [Dictys, spouse, Clymene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clymene
Context triple: [Dictys, spouse, Clymene]
  • A. Clymene chosen
    Clymene is a figure in Greek mythology, often depicted as an Oceanid or Titaness associated with light or fame and known as the wife or consort of the Titan Iapetus.
  • B. Hippodameia
    Hippodameia is a lesser-known figure in Greek mythology, traditionally identified as a daughter of the Trojan hero Anchises.
  • C. Alcione
    Alcione is the nickname of the Italian World War II-era Cant Z.1007 medium bomber aircraft.
  • D. Eurynome
    Eurynome is a figure from Greek mythology, often depicted as an Oceanid or primordial goddess associated with creation and cosmic order.
  • E. Hypermnestra
    Hypermnestra is a figure in Greek mythology, best known as one of the Danaids who spared her husband’s life and was consequently honored for her mercy and piety.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0687f5c6c81909c835329c996b311 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65fc0d90c8190abf85b591e90e292 completed March 27, 2026, 10:45 a.m.
Created at: March 22, 2026, 4:34 p.m.