Triple

T11964437
Position Surface form Disambiguated ID Type / Status
Subject Ganymede E284755 entity
Predicate associatedWith P37 FINISHED
Object Hebe E107396 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: Hebe | Statement: [Ganymede, associatedWith, Hebe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hebe
Context triple: [Ganymede, associatedWith, Hebe]
  • A. Hebe chosen
    Hebe is the Greek goddess of youth, traditionally known as the cupbearer of the gods on Mount Olympus.
  • B. Melina
    Melina is a key resistance fighter and love interest in the science fiction film "Total Recall," known for aiding the protagonist in his struggle against a corrupt Martian regime.
  • C. Alessandra
    Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
  • D. Alessandra
    Alessandra is an Italian given name, the feminine form of Alessandro, equivalent to Alexandra in English.
  • E. Aya
    Aya is a Mesopotamian goddess primarily known as the consort of the sun god Shamash and associated with dawn and light.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903799f948190a5dc4d3822f3ff27 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4594054f08190b28b35f62dfb9198 completed May 1, 2026, 7:41 a.m.
Created at: April 8, 2026, 9:45 p.m.