Triple

T2383686
Position Surface form Disambiguated ID Type / Status
Subject Asia E46368 entity
Predicate sibling P363 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: [Asia, sibling, Clymene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clymene
Context triple: [Asia, sibling, 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. Alcione
    Alcione is the nickname of the Italian World War II-era Cant Z.1007 medium bomber aircraft.
  • C. 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.
  • D. Amphicleia
    Amphicleia was an ancient Greek city in the region of Phocis, known from classical sources for its strategic and regional significance.
  • E. Danaë
    Danaë is a princess in Greek mythology, mother of the hero Perseus, famously imprisoned by her father and visited by Zeus in the form of golden rain.
  • 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_69a88a1554a48190a0180682bcf099be completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc7bc87d0819090cd9d19d748bcc3 completed March 7, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf36dcac8190a17d9af8cd1660c4 completed March 9, 2026, 12:38 p.m.
Created at: March 4, 2026, 7:57 p.m.