Triple

T14364048
Position Surface form Disambiguated ID Type / Status
Subject The Bells E356180 entity
Predicate featuresCharacter P626 FINISHED
Object Drogon E864456 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: Drogon | Statement: [The Bells, featuresCharacter, Drogon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drogon
Context triple: [The Bells, featuresCharacter, Drogon]
  • A. Drogon chosen
    Drogon is the largest and most fearsome of Daenerys Targaryen’s three dragons in the world of Game of Thrones.
  • B. Balerion the Black Dread
    Balerion the Black Dread was the largest and most feared dragon in Westerosi history, famed for helping Aegon the Conqueror forge the Iron Throne and unite the Seven Kingdoms.
  • C. Dragone
    Dragone is an Italian surname most notably associated with Franco Dragone, the renowned theatre director known for his work with Cirque du Soleil and large-scale live productions.
  • D. White Dragon
    White Dragon is a powerful, often malevolent draconic creature typically associated with cold, ice, and purity in contrast to its fiery red counterpart.
  • E. Viserion
    Viserion is one of Daenerys Targaryen’s three dragons in the "A Song of Ice and Fire" novels and the "Game of Thrones" television series, known for his cream-and-gold coloring and devastating fire.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fad48748190a0f34ca4d02f9a3c completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c4cb0c4819094d59b4b1d43588b completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:15 a.m.