Triple

T4917639
Position Surface form Disambiguated ID Type / Status
Subject GreekMonsters E110386 entity
Predicate includes P1393 FINISHED
Object Charybdis E79539 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: Charybdis | Statement: [GreekMonsters, includes, Charybdis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charybdis
Context triple: [GreekMonsters, includes, Charybdis]
  • A. Charybdis chosen
    Charybdis is a monstrous sea creature from Greek mythology, often depicted as a deadly whirlpool that threatens sailors alongside the monster Scylla.
  • B. Scylla
    Scylla is a fearsome sea monster from Greek mythology, often depicted with multiple heads and dwelling in a narrow strait opposite the whirlpool Charybdis.
  • C. Scylla and Charybdis
    Scylla and Charybdis are a pair of deadly sea monsters from Greek mythology that embody the perilous choice between two dangers, famously encountered by Odysseus.
  • D. Glaucus
    Glaucus is a sea-god from Greek mythology, often depicted as a transformed fisherman endowed with prophetic powers.
  • E. 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.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6fa760448190946401b4b21ea8b7 completed March 20, 2026, 4:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77a1ef488190ac9cc34e67a8b243 completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:29 p.m.