Triple

T10457790
Position Surface form Disambiguated ID Type / Status
Subject Daenerys Targaryen E246590 entity
Predicate alias P39 FINISHED
Object Khaleesi E352278 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: Khaleesi | Statement: [Daenerys Targaryen, alias, Khaleesi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khaleesi
Context triple: [Daenerys Targaryen, alias, Khaleesi]
  • A. Khaleesi chosen
    "Khaleesi" is an instrumental track from the Game of Thrones: Season 6 soundtrack, composed by Ramin Djawadi and thematically associated with Daenerys Targaryen.
  • B. Leira
    Leira is a river in southeastern Norway that serves as one of the tributaries feeding into the country’s longest river, the Glomma.
  • C. Katisha
    Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
  • D. Suleika
    Suleika is a central poetic figure in Goethe’s "West–östlicher Divan," inspired by the persona of Marianne von Willemer and emblematic of the collection’s East–West lyrical dialogue on love and spirituality.
  • E. Laleia
    Laleia is a town in northern Timor-Leste known as the birthplace of independence leader and former president Xanana Gusmão.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe4a56e08190ab56d762d6a91b01 completed April 7, 2026, 12:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87f182cb481909f838d6d1dfa7e79 completed April 10, 2026, 4:39 a.m.
Created at: April 6, 2026, 12:18 p.m.