Triple

T8665769
Position Surface form Disambiguated ID Type / Status
Subject Byron Metcalf E205668 entity
Predicate collaboratedWith P435 FINISHED
Object Mark Seelig
Mark Seelig is a musician and composer known for his work in ambient and shamanic music, often featuring overtone and devotional chanting.
 E785696 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: Mark Seelig | Statement: [Byron Metcalf, collaboratedWith, Mark Seelig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mark Seelig
Context triple: [Byron Metcalf, collaboratedWith, Mark Seelig]
  • A. Mark Zeisler
    Mark Zeisler is an American actor known for his supporting roles in film, television, and theater, including a part in the romantic comedy "Two Weeks Notice."
  • B. Eric Sigler
    Eric Sigler is a researcher known for co-authoring influential work in artificial intelligence and machine learning alongside Tom B. Brown.
  • C. Mark Stoermer
    Mark Stoermer is an American musician best known as the longtime bassist for the rock band The Killers.
  • D. Michael Drayer
    Michael Drayer is an American actor known for his supporting roles in television series such as Sneaky Pete, Mr. Robot, and Deception.
  • E. Mark Kohr
    Mark Kohr is an American music video director known for his work with prominent alternative rock bands in the 1990s.
  • 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: Mark Seelig
Triple: [Byron Metcalf, collaboratedWith, Mark Seelig]
Generated description
Mark Seelig is a musician and composer known for his work in ambient and shamanic music, often featuring overtone and devotional chanting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mark Seelig
Target entity description: Mark Seelig is a musician and composer known for his work in ambient and shamanic music, often featuring overtone and devotional chanting.
  • A. Mark Zeisler
    Mark Zeisler is an American actor known for his supporting roles in film, television, and theater, including a part in the romantic comedy "Two Weeks Notice."
  • B. Eric Sigler
    Eric Sigler is a researcher known for co-authoring influential work in artificial intelligence and machine learning alongside Tom B. Brown.
  • C. Mark Stoermer
    Mark Stoermer is an American musician best known as the longtime bassist for the rock band The Killers.
  • D. Michael Drayer
    Michael Drayer is an American actor known for his supporting roles in television series such as Sneaky Pete, Mr. Robot, and Deception.
  • E. Mark Kohr
    Mark Kohr is an American music video director known for his work with prominent alternative rock bands in the 1990s.
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48a1dd1481908c56abca48fcd562 completed March 31, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d065b11f3c81909c787d365b242d57 completed April 4, 2026, 1:13 a.m.
NEDg Description generation batch_69d0676ea53c81908b16dfce6810f6b0 completed April 4, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69d0684c1a108190bc7fdfdced16e24c completed April 4, 2026, 1:24 a.m.
Created at: March 30, 2026, 6:31 p.m.