Triple

T14780259
Position Surface form Disambiguated ID Type / Status
Subject Thoros of Myr E347371 entity
Predicate alsoKnownAs P39 FINISHED
Object Thoros E347371 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: Thoros | Statement: [Thoros of Myr, alsoKnownAs, Thoros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thoros
Context triple: [Thoros of Myr, alsoKnownAs, Thoros]
  • A. Thoros of Myr chosen
    Thoros of Myr is a red priest of R'hllor and a hard-drinking warrior known for his fiery sword and role in the Brotherhood Without Banners in George R. R. Martin's A Song of Ice and Fire series.
  • B. 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.
  • C. Ed Daein
    Ed Daein is a major city in western Sudan that serves as an important regional center for trade and administration.
  • D. Kylos
    Kylos is the destroyed home planet of Drax the Destroyer in the Marvel universe.
  • E. Qyburn
    Qyburn is a disgraced former maester and sinister healer in George R. R. Martin’s A Song of Ice and Fire series, known for his unethical experiments and service to House Lannister.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deca9c7cac8190ba900df95e42e318 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b626c48190a6aa9eda43539246 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.