Triple

T14009686
Position Surface form Disambiguated ID Type / Status
Subject Romberg E337045 entity
Predicate usedBy P260 FINISHED
Object Mark Romberg
Mark Romberg is an individual associated with the use or application of a system, tool, or concept referred to as Romberg.
 E1079209 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 Romberg | Statement: [Romberg, usedBy, Mark Romberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mark Romberg
Context triple: [Romberg, usedBy, Mark Romberg]
  • A. Mark Colenburg
    Mark Colenburg is an American drummer and producer best known for his work in contemporary jazz, hip-hop, and neo-soul with artists such as Robert Glasper.
  • B. Mark Rolston
    Mark Rolston is an American character actor known for his intense roles in films such as Aliens, The Shawshank Redemption, and numerous genre and action movies.
  • C. Mark Seelig
    Mark Seelig is a musician and composer known for his work in ambient and shamanic music, often featuring overtone and devotional chanting.
  • D. Mark Rosman
    Mark Rosman is an American film and television director and screenwriter best known for his work on family and teen-oriented movies and series, including projects for Disney.
  • E. Mark Sanger
    Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
  • 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 Romberg
Triple: [Romberg, usedBy, Mark Romberg]
Generated description
Mark Romberg is an individual associated with the use or application of a system, tool, or concept referred to as Romberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mark Romberg
Target entity description: Mark Romberg is an individual associated with the use or application of a system, tool, or concept referred to as Romberg.
  • A. Mark Colenburg
    Mark Colenburg is an American drummer and producer best known for his work in contemporary jazz, hip-hop, and neo-soul with artists such as Robert Glasper.
  • B. Mark Rolston
    Mark Rolston is an American character actor known for his intense roles in films such as Aliens, The Shawshank Redemption, and numerous genre and action movies.
  • C. Mark Seelig
    Mark Seelig is a musician and composer known for his work in ambient and shamanic music, often featuring overtone and devotional chanting.
  • D. Mark Rosman
    Mark Rosman is an American film and television director and screenwriter best known for his work on family and teen-oriented movies and series, including projects for Disney.
  • E. Mark Sanger
    Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed44f90819099ad08c09c066b56 completed April 14, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd095ca5081908d7fed82e9ef0252 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd21a2a408190ab335e99fcbbd9ae completed May 7, 2026, 5:55 p.m.
NED2 Entity disambiguation (via description) batch_69fcd2e1b2ec81909caab1bfc6394258 completed May 7, 2026, 5:58 p.m.
Created at: April 9, 2026, 10:19 p.m.