Triple

T18109979
Position Surface form Disambiguated ID Type / Status
Subject Pierre-François Bouchard E433447 entity
Predicate givenName P17 FINISHED
Object Pierre-François
Pierre-François is a French masculine given name commonly used as a compound first name.
E1314720 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: Pierre-François | Statement: [Pierre-François Bouchard, givenName, Pierre-François]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pierre-François
Context triple: [Pierre-François Bouchard, givenName, Pierre-François]
  • A. Pierre-Étienne
    Pierre-Étienne is a French masculine given name, often associated with notable historical and political figures in France.
  • B. Pierre-Claude-François
    Pierre-Claude-François is the given name of Pierre-Claude-François Daunou, a French statesman, historian, and influential political figure during and after the French Revolution.
  • C. Antoine-François Peyre
    Antoine-François Peyre was an 18th-century French architect and influential teacher associated with the neoclassical movement.
  • D. Jacques François
    Jacques François was a French actor known for his supporting roles in mid-20th-century European and American films.
  • E. Pierre-Charles
    Pierre-Charles is the given name of Pierre-Charles Le Monnier, an 18th-century French astronomer noted for his work on lunar motion and the determination of longitudes.
  • 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: Pierre-François
Triple: [Pierre-François Bouchard, givenName, Pierre-François]
Generated description
Pierre-François is a French masculine given name commonly used as a compound first name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pierre-François
Target entity description: Pierre-François is a French masculine given name commonly used as a compound first name.
  • A. Pierre-Étienne
    Pierre-Étienne is a French masculine given name, often associated with notable historical and political figures in France.
  • B. Pierre-Claude-François
    Pierre-Claude-François is the given name of Pierre-Claude-François Daunou, a French statesman, historian, and influential political figure during and after the French Revolution.
  • C. Antoine-François Peyre
    Antoine-François Peyre was an 18th-century French architect and influential teacher associated with the neoclassical movement.
  • D. Jacques François
    Jacques François was a French actor known for his supporting roles in mid-20th-century European and American films.
  • E. Pierre-Charles
    Pierre-Charles is the given name of Pierre-Charles Le Monnier, an 18th-century French astronomer noted for his work on lunar motion and the determination of longitudes.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd13cb48190bff06b472e34dd0e completed April 19, 2026, 1:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03ac5724bc8190b9edb164ef49ea5b completed May 12, 2026, 10:40 p.m.
NEDg Description generation batch_6a03ad1e02b48190a23789b2e62d820b completed May 12, 2026, 10:43 p.m.
NED2 Entity disambiguation (via description) batch_6a03adef02fc81909d78aaf558c2cab6 completed May 12, 2026, 10:47 p.m.
Created at: April 10, 2026, 10:28 a.m.