Triple

T2947612
Position Surface form Disambiguated ID Type / Status
Subject Charybdis E79539 entity
Predicate alternativeForm P18099 FINISHED
Object Kharybdis 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: Kharybdis | Statement: [Charybdis, alternativeForm, Kharybdis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kharybdis
Context triple: [Charybdis, alternativeForm, Kharybdis]
  • 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. 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.
  • D. 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.
  • E. Carybé
    Carybé was a prominent Argentine-Brazilian painter, illustrator, and muralist known for his vivid depictions of Afro-Brazilian culture and the city of Salvador, Bahia.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b5916c8190b1163bf0b7fa136a completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108d7b64c8190a18bff804467fa2c completed March 11, 2026, 6:16 a.m.
Created at: March 8, 2026, 2:57 p.m.