Triple

T20540709
Position Surface form Disambiguated ID Type / Status
Subject The Prince and the Pauper E504321 entity
Predicate hasCharacter P2308 FINISHED
Object Miles Hendon NE NERFINISHED

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: Miles Hendon | Statement: [The Prince and the Pauper, hasCharacter, Miles Hendon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miles Hendon
Context triple: [The Prince and the Pauper, hasCharacter, Miles Hendon]
  • A. Miles Hendon chosen
    Miles Hendon is a loyal and chivalrous English gentleman who befriends and protects the young Prince Edward in Mark Twain’s classic tale "The Prince and the Pauper."
  • B. Miles Mankey
    Miles Mankey is a musician best known as a member of the alternative rock band Concrete Blonde.
  • C. Miles Richardson
    Miles Richardson is a British actor known for his work in theatre, film, and television, and as the son of acclaimed actor Ian Richardson.
  • D. Jalil Hutchins
    Jalil Hutchins is an American rapper and songwriter best known as a member of the pioneering hip hop group Whodini.
  • E. Dorian Harris
    Dorian Harris is a film editor known for his work on the crime drama movie "Little Odessa."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a29224f081908298d104161c5bb9 completed April 20, 2026, 10:02 p.m.
Created at: April 16, 2026, 11:37 a.m.