Triple

T15603446
Position Surface form Disambiguated ID Type / Status
Subject Bessi E375090 entity
Predicate associatedDeity P1481 FINISHED
Object Dionysus E15442 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: Dionysus | Statement: [Bessi, associatedDeity, Dionysus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dionysus
Context triple: [Bessi, associatedDeity, Dionysus]
  • A. Dionysus chosen
    Dionysus is the ancient Greek god of wine, ecstasy, theater, and ritual madness, often linked to mystery cults and ecstatic worship.
  • 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. Dionysios
    Dionysios is the Greek form of the name Denis, traditionally associated with Saint Denis of Paris, an early Christian martyr and bishop.
  • D. Bacchus
    Bacchus is a white wine grape variety, widely grown in Germany, known for producing aromatic, early-ripening wines often used in cool-climate regions.
  • E. Bacchus
    Bacchus is a comic book series by Eddie Campbell that reimagines the ancient god of wine as an aging, world-weary survivor navigating modern society.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e6399d88190b2c3e781667666d4 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56d1607c8190a42dc664abe45b32 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:12 a.m.