Triple

T21836520
Position Surface form Disambiguated ID Type / Status
Subject Dionysios E539133 entity
Predicate hasShortForm P43 FINISHED
Object Dionis 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: Dionis | Statement: [Dionysios, hasShortForm, Dionis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dionis
Context triple: [Dionysios, hasShortForm, Dionis]
  • A. Dionysios chosen
    Dionysios is the Greek form of the name Denis, traditionally associated with Saint Denis of Paris, an early Christian martyr and bishop.
  • B. Dionysos
    Dionysos is a suburban town in the northeastern part of the Athens metropolitan area in Greece, known for its scenic setting on the slopes of Mount Pentelicus.
  • C. Dionysus
    Dionysus is the ancient Greek god of wine, ecstasy, theater, and ritual madness, often linked to mystery cults and ecstatic worship.
  • D. Dionisio
    Dionisio is a masculine given name of Greek origin, derived from Dionysius and associated with the ancient Greek god Dionysus.
  • E. Zagreus
    Zagreus is a figure from Greek mythology often identified as a primordial or chthonic aspect of Dionysus, associated with death, rebirth, and the Orphic mysteries.
  • 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7a7c368819094e0c4548be30798 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.