Triple

T23499175
Position Surface form Disambiguated ID Type / Status
Subject Apple E571791 entity
Predicate hasPart P35 FINISHED
Object Mr. Danny Boy 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: Mr. Danny Boy | Statement: [Apple, hasPart, Mr. Danny Boy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Danny Boy
Context triple: [Apple, hasPart, Mr. Danny Boy]
  • A. Danny Boy chosen
    "Danny Boy" is a classic and widely beloved ballad, often associated with Irish traditional music and themes of longing and farewell.
  • B. The Lad from Old Ireland
    The Lad from Old Ireland is a 1910 silent short film notable as one of the earliest American productions shot on location in Ireland and a pioneering work in transatlantic cinema.
  • C. Irish Son
    Irish Son is the debut solo studio album by Irish singer Brian McFadden, released after his departure from the boy band Westlife.
  • D. The Wild Irish Boy
    The Wild Irish Boy is an 1808 Gothic novel by Irish writer Charles Maturin, exploring themes of identity, passion, and social conflict in a melodramatic, romanticized Ireland.
  • E. Ballylooby
    Ballylooby is a small rural village in County Tipperary, Ireland, known for its agricultural surroundings and local community life.
  • 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a8fb71c08190a30500b3f63a9ce6 completed April 29, 2026, 6:45 a.m.
Created at: April 17, 2026, 6:06 p.m.