Triple

T14843515
Position Surface form Disambiguated ID Type / Status
Subject The Monkey’s Uncle E349025 entity
Predicate featuresCharacter P626 FINISHED
Object Merlin Jones E1123209 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: Merlin Jones | Statement: [The Monkey’s Uncle, featuresCharacter, Merlin Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merlin Jones
Context triple: [The Monkey’s Uncle, featuresCharacter, Merlin Jones]
  • A. Merlin Jones chosen
    Merlin Jones is a quirky, intellectually gifted but accident-prone college student and amateur inventor featured in Disney live-action comedies of the 1960s.
  • B. Merlin Holland
    Merlin Holland is a British biographer and editor best known as the only grandchild and literary executor of Oscar Wilde, through his father Vyvyan Holland.
  • C. Emrys Jones
    Emrys Jones was a distinguished British geographer recognized for his influential work in urban and social geography.
  • D. Arthur Jones
    Arthur Jones is a former American football defensive lineman who played in the NFL, notably for the Baltimore Ravens, with whom he won Super Bowl XLVII.
  • E. William Welsh
    William Welsh was an early 20th-century American film actor known for his numerous roles in silent-era motion pictures.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28fa49c81908d1059e6cafd607f completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe72a6b4388190b83bdecb217b9b18 completed May 8, 2026, 11:32 p.m.
Created at: April 10, 2026, 1:53 a.m.