Triple

T5008320
Position Surface form Disambiguated ID Type / Status
Subject Jean-Paul E112550 entity
Predicate equivalentOf P3575 FINISHED
Object John-Paul
John-Paul is a masculine given name, typically a compound of "John" and "Paul," used in various cultures and languages.
 E487117 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-Paul | Statement: [Jean-Paul, equivalentOf, John-Paul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John-Paul
Context triple: [Jean-Paul, equivalentOf, John-Paul]
  • A. Paul Richard
    Paul Richard was a French lawyer, politician, and spiritual seeker known for his association with Sri Aurobindo and marriage to Mirra Alfassa, later revered as "The Mother."
  • B. Christopher Emmanuel Paul
    Christopher Emmanuel Paul is an American professional basketball point guard widely regarded as one of the greatest playmakers in NBA history.
  • C. James Seymour
    James Seymour was an American screenwriter active during Hollywood's early sound era, contributing to several notable studio films in the 1930s.
  • D. James Parker
    James Parker was a British Labour politician and trade unionist active in the early 20th century.
  • E. John Pitt
    John Pitt was a British politician and member of the influential Pitt family, active in public life during the 18th century.
  • 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-Paul
Triple: [Jean-Paul, equivalentOf, John-Paul]
Generated description
John-Paul is a masculine given name, typically a compound of "John" and "Paul," used in various cultures and languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John-Paul
Target entity description: John-Paul is a masculine given name, typically a compound of "John" and "Paul," used in various cultures and languages.
  • A. Paul Richard
    Paul Richard was a French lawyer, politician, and spiritual seeker known for his association with Sri Aurobindo and marriage to Mirra Alfassa, later revered as "The Mother."
  • B. Christopher Emmanuel Paul
    Christopher Emmanuel Paul is an American professional basketball point guard widely regarded as one of the greatest playmakers in NBA history.
  • C. James Seymour
    James Seymour was an American screenwriter active during Hollywood's early sound era, contributing to several notable studio films in the 1930s.
  • D. James Parker
    James Parker was a British Labour politician and trade unionist active in the early 20th century.
  • E. John Pitt
    John Pitt was a British politician and member of the influential Pitt family, active in public life during the 18th century.
  • 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_69bd4433d0b08190877e83959ef40d81 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd72eb05f881908d7dc3d7cd07b2ae completed March 20, 2026, 4:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9266314881909dfb710c5b5c8f65 completed March 21, 2026, 12:43 p.m.
NEDg Description generation batch_69be93cfbe2881908cf97dd9ec5d28b5 completed March 21, 2026, 12:49 p.m.
NED2 Entity disambiguation (via description) batch_69be9448b5148190903775d394a095f0 completed March 21, 2026, 12:51 p.m.
Created at: March 20, 2026, 1:35 p.m.