Triple

T22892158
Position Surface form Disambiguated ID Type / Status
Subject Tad E568068 entity
Predicate hasMember P10 FINISHED
Object Mike Mongrain
Mike Mongrain is a musician best known as a member of the Canadian rock band Tad.
E1560077 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: Mike Mongrain | Statement: [Tad, hasMember, Mike Mongrain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Mongrain
Context triple: [Tad, hasMember, Mike Mongrain]
  • A. Mark Gastineau
    Mark Gastineau is a former American football defensive end best known as a star pass rusher for the New York Jets in the 1980s and a key member of the famed "New York Sack Exchange" defensive line.
  • B. Michael Fessier
    Michael Fessier was an American screenwriter and author known for his work on Hollywood films in the 1930s and 1940s, often contributing to romantic comedies and musicals.
  • C. Michael Joncas
    Michael Joncas is an American Catholic priest, theologian, and liturgical composer best known for his widely sung contemporary hymn "On Eagle’s Wings."
  • D. Mike Desjarlais
    Mike Desjarlais is a cinematographer best known for his work on Michael Moore’s political documentary film "Fahrenheit 9/11."
  • E. Mike Bennion
    Mike Bennion is a musician best known for having been an early member of the British progressive rock band Porcupine Tree.
  • 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: Mike Mongrain
Triple: [Tad, hasMember, Mike Mongrain]
Generated description
Mike Mongrain is a musician best known as a member of the Canadian rock band Tad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mike Mongrain
Target entity description: Mike Mongrain is a musician best known as a member of the Canadian rock band Tad.
  • A. Mark Gastineau
    Mark Gastineau is a former American football defensive end best known as a star pass rusher for the New York Jets in the 1980s and a key member of the famed "New York Sack Exchange" defensive line.
  • B. Michael Fessier
    Michael Fessier was an American screenwriter and author known for his work on Hollywood films in the 1930s and 1940s, often contributing to romantic comedies and musicals.
  • C. Michael Joncas
    Michael Joncas is an American Catholic priest, theologian, and liturgical composer best known for his widely sung contemporary hymn "On Eagle’s Wings."
  • D. Mike Desjarlais
    Mike Desjarlais is a cinematographer best known for his work on Michael Moore’s political documentary film "Fahrenheit 9/11."
  • E. Mike Bennion
    Mike Bennion is a musician best known for having been an early member of the British progressive rock band Porcupine Tree.
  • 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_69e2458c23ec81908fa2570692c6614f completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f17fc66dbc81909b31c068d7f2c531 completed April 29, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bb9c3ae48819099669e5329b63516 completed May 19, 2026, 1:15 a.m.
NEDg Description generation batch_6a0bbb39844c81908be12ebc54bba240 completed May 19, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_6a0bbbb1fc288190a4c8524ca083f284 completed May 19, 2026, 1:24 a.m.
Created at: April 17, 2026, 3:40 p.m.