Triple

T21251980
Position Surface form Disambiguated ID Type / Status
Subject Seether E523766 entity
Predicate hasMember P10 FINISHED
Object John Humphrey
John Humphrey is an American drummer best known for his long-time role as the percussionist for the rock band Seether.
 E1474495 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: John Humphrey | Statement: [Seether, hasMember, John Humphrey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Humphrey
Context triple: [Seether, hasMember, John Humphrey]
  • A. John Humphrey
    John Humphrey was a Canadian legal scholar and human rights advocate best known as the principal drafter of the Universal Declaration of Human Rights.
  • B. John Perkins Humphrey
    John Perkins Humphrey was the father of American illustrator Maud Humphrey and a member of the Humphrey family active in 19th-century New York.
  • C. René Cassin
    René Cassin was a French jurist, Nobel Peace Prize laureate, and key architect of modern human rights law.
  • D. Murray Frum
    Murray Frum was a Canadian real estate developer, philanthropist, and prominent art collector known for his significant contributions to cultural institutions.
  • E. Jonathan Lemkin
    Jonathan Lemkin is an American screenwriter known for his work on action and thriller films, including the adaptation of Stephen Hunter’s novel for the movie "Shooter."
  • 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: John Humphrey
Triple: [Seether, hasMember, John Humphrey]
Generated description
John Humphrey is an American drummer best known for his long-time role as the percussionist for the rock band Seether.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Humphrey
Target entity description: John Humphrey is an American drummer best known for his long-time role as the percussionist for the rock band Seether.
  • A. John Humphrey
    John Humphrey was a Canadian legal scholar and human rights advocate best known as the principal drafter of the Universal Declaration of Human Rights.
  • B. John Perkins Humphrey
    John Perkins Humphrey was the father of American illustrator Maud Humphrey and a member of the Humphrey family active in 19th-century New York.
  • C. René Cassin
    René Cassin was a French jurist, Nobel Peace Prize laureate, and key architect of modern human rights law.
  • D. Murray Frum
    Murray Frum was a Canadian real estate developer, philanthropist, and prominent art collector known for his significant contributions to cultural institutions.
  • E. Jonathan Lemkin
    Jonathan Lemkin is an American screenwriter known for his work on action and thriller films, including the adaptation of Stephen Hunter’s novel for the movie "Shooter."
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7359e90d881909b3153f1e7213c5c completed April 21, 2026, 8:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a098ff3bca481909d264dce786d261d completed May 17, 2026, 9:52 a.m.
NEDg Description generation batch_6a099107de508190b4d3d864c33cf7d8 completed May 17, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_6a0991bc8370819087b205185299acce completed May 17, 2026, 10 a.m.
Created at: April 16, 2026, 3:57 p.m.