Triple

T15542901
Position Surface form Disambiguated ID Type / Status
Subject Joubert E370525 entity
Predicate hasNotableBearer P458 FINISHED
Object Patrick Joubert
Patrick Joubert is a relatively obscure individual whose publicly documented achievements or biographical details are not widely known.
E1163338 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: Patrick Joubert | Statement: [Joubert, hasNotableBearer, Patrick Joubert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patrick Joubert
Context triple: [Joubert, hasNotableBearer, Patrick Joubert]
  • A. Michael Fournier
    Michael Fournier is an American local politician who serves as the mayor of Royal Oak, Michigan.
  • B. Philip Dupuy
    Philip Dupuy is an actor known for his role in the film "Another Country."
  • C. Charles Dupuy
    Charles Dupuy was a French statesman who served multiple times as Prime Minister during the Third Republic and played a key role in centrist republican politics.
  • D. Jacques Lemare
    Jacques Lemare was a French cinematographer known for his work on mid-20th-century films, including the 1954 adaptation of "The Count of Monte Cristo."
  • E. Eben Tourjée
    Eben Tourjée was a 19th-century American music educator and administrator best known for establishing the New England Conservatory of Music in Boston.
  • 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: Patrick Joubert
Triple: [Joubert, hasNotableBearer, Patrick Joubert]
Generated description
Patrick Joubert is a relatively obscure individual whose publicly documented achievements or biographical details are not widely known.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Patrick Joubert
Target entity description: Patrick Joubert is a relatively obscure individual whose publicly documented achievements or biographical details are not widely known.
  • A. Michael Fournier
    Michael Fournier is an American local politician who serves as the mayor of Royal Oak, Michigan.
  • B. Philip Dupuy
    Philip Dupuy is an actor known for his role in the film "Another Country."
  • C. Charles Dupuy
    Charles Dupuy was a French statesman who served multiple times as Prime Minister during the Third Republic and played a key role in centrist republican politics.
  • D. Jacques Lemare
    Jacques Lemare was a French cinematographer known for his work on mid-20th-century films, including the 1954 adaptation of "The Count of Monte Cristo."
  • E. Eben Tourjée
    Eben Tourjée was a 19th-century American music educator and administrator best known for establishing the New England Conservatory of Music in Boston.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04432c3808190bb5b653bf8de30c6 completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4558677881908704ac86c12e1fc4 completed May 9, 2026, 2:31 p.m.
NEDg Description generation batch_69ff468d1db88190ad71bc6780df5439 completed May 9, 2026, 2:37 p.m.
NED2 Entity disambiguation (via description) batch_69ff472fb24c8190912755bd95ef50c9 completed May 9, 2026, 2:39 p.m.
Created at: April 10, 2026, 4:07 a.m.