Triple

T16098287
Position Surface form Disambiguated ID Type / Status
Subject Don Most E390542 entity
Predicate characterPortrayed P1507 FINISHED
Object Ralph Malph E118560 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: Ralph Malph | Statement: [Don Most, characterPortrayed, Ralph Malph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ralph Malph
Context triple: [Don Most, characterPortrayed, Ralph Malph]
  • A. Ralph Malph chosen
    Ralph Malph is a wisecracking, redheaded teenager known for his corny jokes and nervous humor on the classic TV sitcom "Happy Days."
  • B. Ralph Fell
    Ralph Fell was an English Jesuit priest and scholar active in the late 17th and early 18th centuries.
  • C. Ralph Vane
    Ralph Vane was a 16th-century English courtier and soldier who served under King Henry VIII and was executed for alleged involvement in a conspiracy during the reign of Edward VI.
  • D. George Denbrough
    George Denbrough is a young boy from Stephen King's horror novel "It," whose tragic death at the hands of Pennywise the Clown drives much of the story's emotional and narrative conflict.
  • E. Ralph Newbery
    Ralph Newbery was the father of Argentine aviation pioneer Jorge Newbery and a member of the Newbery family associated with early aviation history in Argentina.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6551a48190afb7e0c61e22b541 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffeed4e008190b1e8d924b9dc9d37 completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 4:59 a.m.