Triple

T14044257
Position Surface form Disambiguated ID Type / Status
Subject The Cinematic Orchestra E337916 entity
Predicate hasMember P10 FINISHED
Object Nick Ramm
Nick Ramm is a musician and keyboardist best known for his work with the British nu-jazz and electronic group The Cinematic Orchestra.
E1076528 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: Nick Ramm | Statement: [The Cinematic Orchestra, hasMember, Nick Ramm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Ramm
Context triple: [The Cinematic Orchestra, hasMember, Nick Ramm]
  • A. Nick Roud
    Nick Roud is an actor known for his role in the film "Finding Neverland."
  • B. Nick Evers
    Nick Evers is one of the children of Tony Evers, the Governor of Wisconsin.
  • C. Nick Gillard
    Nick Gillard is a British stunt coordinator and fight choreographer best known for designing the iconic lightsaber duels in the Star Wars prequel trilogy.
  • D. Nick Sauer
    Nick Sauer is an American politician who served as a Republican member of the Illinois House of Representatives before resigning amid allegations of misconduct.
  • E. Nick Caistor
    Nick Caistor is a British translator and writer renowned for bringing major works of Spanish and Latin American literature, including novels by Isabel Allende, into English.
  • 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: Nick Ramm
Triple: [The Cinematic Orchestra, hasMember, Nick Ramm]
Generated description
Nick Ramm is a musician and keyboardist best known for his work with the British nu-jazz and electronic group The Cinematic Orchestra.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nick Ramm
Target entity description: Nick Ramm is a musician and keyboardist best known for his work with the British nu-jazz and electronic group The Cinematic Orchestra.
  • A. Nick Roud
    Nick Roud is an actor known for his role in the film "Finding Neverland."
  • B. Nick Evers
    Nick Evers is one of the children of Tony Evers, the Governor of Wisconsin.
  • C. Nick Gillard
    Nick Gillard is a British stunt coordinator and fight choreographer best known for designing the iconic lightsaber duels in the Star Wars prequel trilogy.
  • D. Nick Sauer
    Nick Sauer is an American politician who served as a Republican member of the Illinois House of Representatives before resigning amid allegations of misconduct.
  • E. Nick Caistor
    Nick Caistor is a British translator and writer renowned for bringing major works of Spanish and Latin American literature, including novels by Isabel Allende, into English.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de312b94308190bd0961f5bc719c7b completed April 14, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc34148348190a8c67e035646e431 completed May 6, 2026, 10:40 p.m.
NEDg Description generation batch_69fc4300948881908784c5ad99188ad2 completed May 7, 2026, 7:45 a.m.
NED2 Entity disambiguation (via description) batch_69fc444630408190b368611373265973 completed May 7, 2026, 7:50 a.m.
Created at: April 9, 2026, 10:20 p.m.