Triple

T20333705
Position Surface form Disambiguated ID Type / Status
Subject Love (band) E492548 entity
Predicate hasMember P10 FINISHED
Object Michael Stuart
Michael Stuart is a musician best known as a member of the rock band Love.
E1424680 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: Michael Stuart | Statement: [Love (band), hasMember, Michael Stuart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Stuart
Context triple: [Love (band), hasMember, Michael Stuart]
  • A. Michael Stuart
    Michael Stuart is a Puerto Rican-American salsa singer and actor known for his romantic style and contributions to Latin music.
  • B. John Stewart
    John Stewart was an American statesman who represented South Carolina as a delegate in the Continental Congress during the Revolutionary era.
  • C. John Stewart
    John Stewart is a prominent American comedian, writer, and former host of "The Daily Show," known for his influential political satire and commentary.
  • D. John Stewart
    John Stewart is a British philosopher and author known for his contributions to public discourse on critical thinking and rational debate.
  • E. John Stewart
    John Stewart is the birth name of American science fiction author Jack Williamson, a pioneering figure in the genre known for works like "The Legion of Space" and "Darker Than You Think."
  • 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: Michael Stuart
Triple: [Love (band), hasMember, Michael Stuart]
Generated description
Michael Stuart is a musician best known as a member of the rock band Love.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michael Stuart
Target entity description: Michael Stuart is a musician best known as a member of the rock band Love.
  • A. Michael Stuart
    Michael Stuart is a Puerto Rican-American salsa singer and actor known for his romantic style and contributions to Latin music.
  • B. John Stewart
    John Stewart is the father of American actress Kristen Stewart, known for his work behind the scenes in the entertainment industry as a stage manager and television producer.
  • C. John Stewart
    John Stewart is a prominent DC Comics superhero best known as one of the primary Green Lanterns of Earth, a former U.S. Marine and architect who wields a power ring fueled by willpower.
  • D. John Stewart
    John Stewart was an American folk musician and singer-songwriter best known for his work with the Kingston Trio and for writing the hit song "Daydream Believer."
  • E. John Stewart
    John Stewart was an American statesman who represented South Carolina as a delegate in the Continental Congress during the Revolutionary era.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e94e2481908898e0a3513e1209 completed April 20, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08695627048190bd58a00534bacce4 completed May 16, 2026, 12:55 p.m.
NEDg Description generation batch_6a0869e2a80481909105005195330dc9 completed May 16, 2026, 12:58 p.m.
NED2 Entity disambiguation (via description) batch_6a086a6ad6c88190be1770758d2e1bbf completed May 16, 2026, 1 p.m.
Created at: April 16, 2026, 11:23 a.m.