Triple

T4296279
Position Surface form Disambiguated ID Type / Status
Subject Ariadne E99720 entity
Predicate sibling P363 FINISHED
Object Glaucus E137953 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: Glaucus | Statement: [Ariadne, sibling, Glaucus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glaucus
Context triple: [Ariadne, sibling, Glaucus]
  • A. Glaucus chosen
    Glaucus is a sea-god from Greek mythology, often depicted as a transformed fisherman endowed with prophetic powers.
  • B. Glaucus
    Glaucus is a character associated with the darkly comedic, countercultural world of the film "Harold and Maude," reflecting its themes of unconventional relationships and existential rebellion.
  • C. Phorcys
    Phorcys is a primordial sea deity in Greek mythology, often depicted as an ancient sea god associated with various monstrous offspring.
  • D. Gorg
    Gorg is a neighborhood and metro/tram station area in Badalona, near Barcelona, known for its role as a local transport hub and residential district.
  • E. Charybdis
    Charybdis is a monstrous sea creature from Greek mythology, often depicted as a deadly whirlpool that threatens sailors alongside the monster Scylla.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3509aebd48190af38f2e37f07869a completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c7439b3481908d2554f7b86002aa completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:08 p.m.