Triple

T3659261
Position Surface form Disambiguated ID Type / Status
Subject Jabberwocky E77608 entity
Predicate musicBy P1952 FINISHED
Object John Du Prez
John Du Prez is a British composer and musician best known for his film scores and long-running collaboration with the comedy group Monty Python.
 E379122 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: John Du Prez | Statement: [Jabberwocky, musicBy, John Du Prez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Du Prez
Context triple: [Jabberwocky, musicBy, John Du Prez]
  • A. Michael Codron
    Michael Codron is a prominent British theatre producer known for championing new playwrights and staging influential West End productions.
  • B. Michael Ballhaus
    Michael Ballhaus was a renowned German cinematographer celebrated for his dynamic camera work and frequent collaborations with director Martin Scorsese.
  • C. Marc Arnold
    Marc Arnold is a relatively obscure individual whose primary public mention is as a notable bearer of the surname Arnold.
  • D. Richard Marks
    Richard Marks was an American film editor known for his work on numerous acclaimed movies, including the culinary drama "Julie & Julia."
  • E. Andy Elisburg
    Andy Elisburg is a longtime NBA executive best known for overseeing basketball operations and salary cap management as the general manager of the Miami Heat.
  • 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: John Du Prez
Triple: [Jabberwocky, musicBy, John Du Prez]
Generated description
John Du Prez is a British composer and musician best known for his film scores and long-running collaboration with the comedy group Monty Python.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Du Prez
Target entity description: John Du Prez is a British composer and musician best known for his film scores and long-running collaboration with the comedy group Monty Python.
  • A. Michael Codron
    Michael Codron is a prominent British theatre producer known for championing new playwrights and staging influential West End productions.
  • B. Michael Ballhaus
    Michael Ballhaus was a renowned German cinematographer celebrated for his dynamic camera work and frequent collaborations with director Martin Scorsese.
  • C. Marc Arnold
    Marc Arnold is a relatively obscure individual whose primary public mention is as a notable bearer of the surname Arnold.
  • D. Richard Marks
    Richard Marks was an American film editor known for his work on numerous acclaimed movies, including the culinary drama "Julie & Julia."
  • E. Andy Elisburg
    Andy Elisburg is a longtime NBA executive best known for overseeing basketball operations and salary cap management as the general manager of the Miami Heat.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3d5e5f881909c7c105827d41071 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c39796648190a83a7f1a63c653bd completed March 14, 2026, 2:10 a.m.
NEDg Description generation batch_69b4c43feeac819082823e862b24bc71 completed March 14, 2026, 2:13 a.m.
NED2 Entity disambiguation (via description) batch_69b4c4c503a08190b5e1617c4f63ef37 completed March 14, 2026, 2:15 a.m.
Created at: March 8, 2026, 3:25 p.m.