Triple

T16621753
Position Surface form Disambiguated ID Type / Status
Subject Laena Velaryon E403848 entity
Predicate dragon P52720 FINISHED
Object Vhagar E1085746 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: Vhagar | Statement: [Laena Velaryon, dragon, Vhagar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vhagar
Context triple: [Laena Velaryon, dragon, Vhagar]
  • A. Vhagar chosen
    Vhagar is one of the most powerful and ancient dragons in Westerosi history, famed for her pivotal role in the Targaryen civil war known as the Dance of the Dragons.
  • B. Gwaihir
    Gwaihir is a mighty Great Eagle from J.R.R. Tolkien’s Middle-earth legendarium, best known for aiding Gandalf and participating in key rescues during The Lord of the Rings.
  • C. Holdsclaw
    Holdsclaw is the surname of Chamique Holdsclaw, a prominent former American professional basketball player and Women’s Basketball Hall of Famer.
  • D. Wyvern
    Wyvern is a minor crew member of the cursed ghost ship Flying Dutchman in the Pirates of the Caribbean film series.
  • E. Cauldron Snout
    Cauldron Snout is a long, rocky cascade on the River Tees in northern England, known for its dramatic scenery along the Pennine Way.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754e80ec8190b3c66b33dbc7463c completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007db27f788190a3c57b7ea8a8a9c6 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.