Triple

T3204724
Position Surface form Disambiguated ID Type / Status
Subject That's the Way Love Goes E67133 entity
Predicate writer P1360 FINISHED
Object Melvin Webb
Melvin Webb is a songwriter known for contributing to the country music hit "That's the Way Love Goes."
E335243 NE FINISHED

How this triple was built (4 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: [That's the Way Love Goes, writer, Melvin Webb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melvin Webb
Context triple: [That's the Way Love Goes, writer, Melvin Webb]
  • A. Willard Motley
    Willard Motley was an African American novelist best known for his gritty depictions of urban life in mid-20th-century Chicago.
  • B. 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.
  • C. Melville Tucker
    Melville Tucker is a film producer best known for his work on the 1980 comedy movie "Stir Crazy."
  • D. 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.
  • E. Orlando Murden
    Orlando Murden was an American songwriter best known for co-writing the classic soul ballad "For Once in My Life."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Melvin Webb
Triple: [That's the Way Love Goes, writer, Melvin Webb]
Generated description
Melvin Webb is a songwriter known for contributing to the country music hit "That's the Way Love Goes."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Melvin Webb
Target entity description: Melvin Webb is a songwriter known for contributing to the country music hit "That's the Way Love Goes."
  • A. Willard Motley
    Willard Motley was an African American novelist best known for his gritty depictions of urban life in mid-20th-century Chicago.
  • B. 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.
  • C. Melville Tucker
    Melville Tucker is a film producer best known for his work on the 1980 comedy movie "Stir Crazy."
  • D. 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.
  • E. Orlando Murden
    Orlando Murden was an American songwriter best known for co-writing the classic soul ballad "For Once in My Life."
  • F. None of above. chosen

Provenance (5 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_69adaa54124c8190a22089ce2eaedab5 completed March 8, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bcbb0e88190b4413c4ba3de0eeb completed March 12, 2026, 5:14 a.m.
NEDg Description generation batch_69b24ca05434819080ee515b1e7bdcb4 completed March 12, 2026, 5:18 a.m.
NED2 Entity disambiguation (via description) batch_69b24d19250c81908a9c3ac95b83a473 completed March 12, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:07 p.m.