Triple

T8543242
Position Surface form Disambiguated ID Type / Status
Subject Elegy (track) E202250 entity
Predicate performer P1363 FINISHED
Object Michael Armine
Michael Armine is an American musician and sound artist best known as the vocalist and noise/samples specialist for the post-metal band Rosetta.
 E740683 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 Armine | Statement: [Elegy (track), performer, Michael Armine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michael Armine
Context triple: [Elegy (track), performer, Michael Armine]
  • A. Michael Elias
    Michael Elias is an American screenwriter, actor, and director best known for co-writing the hit comedy film "The Jerk" starring Steve Martin.
  • B. Andrew Miano
    Andrew Miano is an American film producer known for his work on independent and critically acclaimed movies, often collaborating with director Tom Ford and others.
  • C. Michael Silvers
    Michael Silvers is a sound designer known for his work on Pixar’s animated short film "The Blue Umbrella."
  • D. Michael Blake
    Michael Blake was an American author and screenwriter best known for writing the novel and Oscar-winning screenplay for "Dances with Wolves."
  • E. Michael Filerman
    Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
  • 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 Armine
Triple: [Elegy (track), performer, Michael Armine]
Generated description
Michael Armine is an American musician and sound artist best known as the vocalist and noise/samples specialist for the post-metal band Rosetta.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michael Armine
Target entity description: Michael Armine is an American musician and sound artist best known as the vocalist and noise/samples specialist for the post-metal band Rosetta.
  • A. Michael Elias
    Michael Elias is an American screenwriter, actor, and director best known for co-writing the hit comedy film "The Jerk" starring Steve Martin.
  • B. Andrew Miano
    Andrew Miano is an American film producer known for his work on independent and critically acclaimed movies, often collaborating with director Tom Ford and others.
  • C. Michael Silvers
    Michael Silvers is a sound designer known for his work on Pixar’s animated short film "The Blue Umbrella."
  • D. Michael Blake
    Michael Blake was an American author and screenwriter best known for writing the novel and Oscar-winning screenplay for "Dances with Wolves."
  • E. Michael Filerman
    Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6e381d4819084e230389a3ecb77 completed March 31, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6dabf9908190bb61ad4ddb953902 completed April 2, 2026, 1:22 p.m.
NEDg Description generation batch_69ce6f02fabc819093b95e0d318c5649 completed April 2, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69ce6f9b12148190be55b3f5f2b518d9 completed April 2, 2026, 1:31 p.m.
Created at: March 30, 2026, 6:18 p.m.