Triple

T16020513
Position Surface form Disambiguated ID Type / Status
Subject Smash Mouth E388584 entity
Predicate hasMember P10 FINISHED
Object Michael Klooster
Michael Klooster is an American keyboardist best known as a longtime member of the rock band Smash Mouth.
E1199239 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 Klooster | Statement: [Smash Mouth, hasMember, Michael Klooster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Klooster
Context triple: [Smash Mouth, hasMember, Michael Klooster]
  • A. Michael Knost
    Michael Knost is an American author and editor best known for his work in horror and speculative fiction, particularly within the Appalachian gothic tradition.
  • B. David Oelhoffen
    David Oelhoffen is a French film director and screenwriter known for his character-driven dramas and literary adaptations.
  • C. John Verhoogen
    John Verhoogen was a prominent 20th-century geophysicist known for his influential work on the thermal and dynamic evolution of the Earth’s interior.
  • D. Greg de Vries
    Greg de Vries is a retired Canadian professional ice hockey defenceman who played over 800 NHL games and won the Stanley Cup with the Colorado Avalanche in 2001.
  • E. Ralph Zondag
    Ralph Zondag is a Canadian film director and animator best known for co-directing Disney's 2000 computer-animated feature film "Dinosaur."
  • 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 Klooster
Triple: [Smash Mouth, hasMember, Michael Klooster]
Generated description
Michael Klooster is an American keyboardist best known as a longtime member of the rock band Smash Mouth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michael Klooster
Target entity description: Michael Klooster is an American keyboardist best known as a longtime member of the rock band Smash Mouth.
  • A. Michael Knost
    Michael Knost is an American author and editor best known for his work in horror and speculative fiction, particularly within the Appalachian gothic tradition.
  • B. David Oelhoffen
    David Oelhoffen is a French film director and screenwriter known for his character-driven dramas and literary adaptations.
  • C. John Verhoogen
    John Verhoogen was a prominent 20th-century geophysicist known for his influential work on the thermal and dynamic evolution of the Earth’s interior.
  • D. Greg de Vries
    Greg de Vries is a retired Canadian professional ice hockey defenceman who played over 800 NHL games and won the Stanley Cup with the Colorado Avalanche in 2001.
  • E. Ralph Zondag
    Ralph Zondag is a Canadian film director and animator best known for co-directing Disney's 2000 computer-animated feature film "Dinosaur."
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183231f2c81908f4e4037c3aa180b completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffee94e1c8190ae81e2d5be082982 completed May 10, 2026, 3:43 a.m.
NEDg Description generation batch_6a0000df05a88190bbe053207babb9af completed May 10, 2026, 3:51 a.m.
NED2 Entity disambiguation (via description) batch_6a00013fdb1c8190add653fc1cf30e44 completed May 10, 2026, 3:53 a.m.
Created at: April 10, 2026, 4:55 a.m.