Triple

T20067919
Position Surface form Disambiguated ID Type / Status
Subject Célimène E499657 entity
Predicate hasRelationshipWith P2830 FINISHED
Object Acaste NE NERFINISHED

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: Acaste | Statement: [Célimène, hasRelationshipWith, Acaste]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Acaste
Context triple: [Célimène, hasRelationshipWith, Acaste]
  • A. Acaste chosen
    Acaste is a vain and foppish marquis in Molière’s comedy *Le Misanthrope*, serving as a satirical portrait of superficial aristocratic manners.
  • B. Ousanas
    Ousanas was a king of the ancient Kingdom of Aksum in what is now Ethiopia, known from inscriptions and coinage as an early Christian-era ruler preceding King Ezana.
  • C. Agathé
    Agathé is the ancient Greek name for the historic Mediterranean port city now known as Agde in southern France.
  • D. Polyxo
    Polyxo is a figure from Greek mythology known as one of the daughters of the Titan Atlas.
  • E. Erasinos
    Erasinos is an ancient river in the region of Attica, Greece, historically associated with the sanctuary and coastal area of Brauron.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6637ac3fc8190911063b979c3afb8 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:39 p.m.