Triple

T8140846
Position Surface form Disambiguated ID Type / Status
Subject Candide E190091 entity
Predicate lyricist P1360 FINISHED
Object John La Touche
John La Touche was an American lyricist and librettist known for his sophisticated, often witty contributions to mid-20th-century musical theater and opera.
 E740344 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 La Touche | Statement: [Candide, lyricist, John La Touche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John La Touche
Context triple: [Candide, lyricist, John La Touche]
  • A. Edward Talbot
    Edward Talbot was an Anglican clergyman who became the inaugural Bishop of Southwark in the Church of England.
  • B. John Ternouth
    John Ternouth was a 19th-century British sculptor best known for creating the bronze reliefs that adorn Nelson's Column in Trafalgar Square, London.
  • C. Talbot Rothwell
    Talbot Rothwell was a British screenwriter best known for writing many of the popular "Carry On" comedy films in the 1960s and 1970s.
  • D. Geoffrey Unsworth
    Geoffrey Unsworth was a renowned British cinematographer celebrated for his visually rich work on numerous classic films of the 1960s and 1970s.
  • E. Robert Cornthwaite
    Robert Cornthwaite was an American character actor best known for his roles in 1950s science fiction films and numerous television appearances.
  • 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 La Touche
Triple: [Candide, lyricist, John La Touche]
Generated description
John La Touche was an American lyricist and librettist known for his sophisticated, often witty contributions to mid-20th-century musical theater and opera.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John La Touche
Target entity description: John La Touche was an American lyricist and librettist known for his sophisticated, often witty contributions to mid-20th-century musical theater and opera.
  • A. Edward Talbot
    Edward Talbot was an Anglican clergyman who became the inaugural Bishop of Southwark in the Church of England.
  • B. John Ternouth
    John Ternouth was a 19th-century British sculptor best known for creating the bronze reliefs that adorn Nelson's Column in Trafalgar Square, London.
  • C. Talbot Rothwell
    Talbot Rothwell was a British screenwriter best known for writing many of the popular "Carry On" comedy films in the 1960s and 1970s.
  • D. Geoffrey Unsworth
    Geoffrey Unsworth was a renowned British cinematographer celebrated for his visually rich work on numerous classic films of the 1960s and 1970s.
  • E. Robert Cornthwaite
    Robert Cornthwaite was an American character actor best known for his roles in 1950s science fiction films and numerous television appearances.
  • 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_69ca82bd9900819099477cdc2eb4244f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4442299881909db56f7475cbb99a completed March 31, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce6ca1110c8190b72a2a573ddab06d completed April 2, 2026, 1:18 p.m.
NEDg Description generation batch_69ce6e66c5e48190badcc5e075892006 completed April 2, 2026, 1:25 p.m.
NED2 Entity disambiguation (via description) batch_69ce6f0cc434819089e78d24dfee5361 completed April 2, 2026, 1:28 p.m.
Created at: March 30, 2026, 5:36 p.m.