Triple

T10844643
Position Surface form Disambiguated ID Type / Status
Subject Eddard Stark E255979 entity
Predicate alias P39 FINISHED
Object Ned Stark E255979 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: Ned Stark | Statement: [Eddard Stark, alias, Ned Stark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ned Stark
Context triple: [Eddard Stark, alias, Ned Stark]
  • A. Eddard Stark chosen
    Eddard Stark is the honorable and stoic Lord of Winterfell and Warden of the North in the fantasy series "A Song of Ice and Fire" and its television adaptation "Game of Thrones."
  • B. Robb Stark
    Robb Stark is the eldest son of Eddard Stark and a key Northern lord who rises to prominence as a military leader in the early seasons of Game of Thrones.
  • C. Bran Stark
    Bran Stark is a central character in the Game of Thrones saga, a young Stark noble who becomes the mystical Three-Eyed Raven with the power to see into the past, present, and future.
  • D. Benjen Stark
    Benjen Stark is a member of House Stark and a First Ranger of the Night's Watch in George R. R. Martin's A Song of Ice and Fire series.
  • E. Baron Snow
    Baron Snow is the title held by C. P. Snow, the British scientist, novelist, and government administrator best known for his "Two Cultures" lecture on the divide between the sciences and the humanities.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d750d0155c81908fb55ba6b45db800 completed April 9, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7ca05788190aff4f34084499ba6 completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:19 p.m.