Triple

T3204775
Position Surface form Disambiguated ID Type / Status
Subject If E67134 entity
Predicate songwriter P1141 FINISHED
Object Melvin Webb E335243 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: Melvin Webb | Statement: [If, songwriter, Melvin Webb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melvin Webb
Context triple: [If, songwriter, Melvin Webb]
  • A. Melvin Webb chosen
    Melvin Webb is a songwriter known for contributing to the country music hit "That's the Way Love Goes."
  • B. Willard Motley
    Willard Motley was an African American novelist best known for his gritty depictions of urban life in mid-20th-century Chicago.
  • C. Douglass Dumbrille
    Douglass Dumbrille was a Canadian-born character actor best known for his prolific work in Hollywood films of the 1930s and 1940s, often portraying suave villains and authority figures.
  • D. Melville Tucker
    Melville Tucker is a film producer best known for his work on the 1980 comedy movie "Stir Crazy."
  • E. Frank Frink
    Frank Frink is a central character in Philip K. Dick's alternate-history novel "The Man in the High Castle," portrayed as a disillusioned craftsman navigating life under Axis-occupied America.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa559848819082d1e61f586278dd completed March 8, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b27707577481909be867ffdb63d3b8 completed March 12, 2026, 8:19 a.m.
Created at: March 8, 2026, 3:07 p.m.