Triple

T2129536
Position Surface form Disambiguated ID Type / Status
Subject My Bloody Valentine 3D E46504 entity
Predicate musicBy P1952 FINISHED
Object Michael Wandmacher
Michael Wandmacher is an American film and television composer known for his work on horror and action projects, including the score for "My Bloody Valentine 3D."
 E330721 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 Wandmacher | Statement: [My Bloody Valentine 3D, musicBy, Michael Wandmacher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michael Wandmacher
Context triple: [My Bloody Valentine 3D, musicBy, Michael Wandmacher]
  • A. Michael Klein
    Michael Klein is the father of Canadian author and activist Naomi Klein.
  • B. Mark Kohr
    Mark Kohr is an American music video director known for his work with prominent alternative rock bands in the 1990s.
  • C. Stephen Endlicher
    Stephen Endlicher was a 19th-century Austrian botanist and linguist known for his influential work in plant taxonomy and classification.
  • D. Philip Steuer
    Philip Steuer is a film producer best known for his work on major studio projects, including the Disney drama "Saving Mr. Banks."
  • E. Michael Andlauer
    Michael Andlauer is a Canadian businessman and sports executive best known as the owner of the NHL’s Ottawa Senators and a longtime figure in professional hockey ownership.
  • 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 Wandmacher
Triple: [My Bloody Valentine 3D, musicBy, Michael Wandmacher]
Generated description
Michael Wandmacher is an American film and television composer known for his work on horror and action projects, including the score for "My Bloody Valentine 3D."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michael Wandmacher
Target entity description: Michael Wandmacher is an American film and television composer known for his work on horror and action projects, including the score for "My Bloody Valentine 3D."
  • A. Michael Klein
    Michael Klein is the father of Canadian author and activist Naomi Klein.
  • B. Mark Kohr
    Mark Kohr is an American music video director known for his work with prominent alternative rock bands in the 1990s.
  • C. Stephen Endlicher
    Stephen Endlicher was a 19th-century Austrian botanist and linguist known for his influential work in plant taxonomy and classification.
  • D. Philip Steuer
    Philip Steuer is a film producer best known for his work on major studio projects, including the Disney drama "Saving Mr. Banks."
  • E. Michael Andlauer
    Michael Andlauer is a Canadian businessman and sports executive best known as the owner of the NHL’s Ottawa Senators and a longtime figure in professional hockey ownership.
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb77ccc4819087bee5dbb91b5ae8 completed March 7, 2026, 5:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2247dfcf88190ac85cc10e5700363 completed March 12, 2026, 2:27 a.m.
NEDg Description generation batch_69b2254ac6d88190b40c7c5b5a0f4eba completed March 12, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_69b225c6c2d88190adb381023e0c3219 completed March 12, 2026, 2:32 a.m.
Created at: March 4, 2026, 7:44 p.m.