Triple

T14760694
Position Surface form Disambiguated ID Type / Status
Subject Jean-Emmanuel Perrin E346851 entity
Predicate hasGivenName P17 FINISHED
Object Jean-Emmanuel
Jean-Emmanuel is a French masculine given name, typically used as a compound first name combining “Jean” and “Emmanuel.”
E1119621 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: Jean-Emmanuel | Statement: [Jean-Emmanuel Perrin, hasGivenName, Jean-Emmanuel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean-Emmanuel
Context triple: [Jean-Emmanuel Perrin, hasGivenName, Jean-Emmanuel]
  • A. Jean-Philippe
    Jean-Philippe is a French masculine given name most famously borne by the Baroque composer Jean-Philippe Rameau.
  • B. Jean Louis
    Jean Louis was a renowned French-born American costume designer celebrated for his glamorous Hollywood film and television wardrobe creations.
  • C. Jean Louis
    Jean Louis is the given name of Louis Barthou, a prominent French politician and statesman of the late 19th and early 20th centuries.
  • D. Jean-Marie
    Jean-Marie is a French given name most notably borne by Nobel Prize–winning chemist Jean-Marie Lehn.
  • E. Emmanuel-Joseph
    Emmanuel-Joseph is a masculine given name of French origin, notably borne by the influential French clergyman and revolutionary thinker Emmanuel-Joseph Sieyès.
  • 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: Jean-Emmanuel
Triple: [Jean-Emmanuel Perrin, hasGivenName, Jean-Emmanuel]
Generated description
Jean-Emmanuel is a French masculine given name, typically used as a compound first name combining “Jean” and “Emmanuel.”
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jean-Emmanuel
Target entity description: Jean-Emmanuel is a French masculine given name, typically used as a compound first name combining “Jean” and “Emmanuel.”
  • A. Jean-Philippe
    Jean-Philippe is a French masculine given name most famously borne by the Baroque composer Jean-Philippe Rameau.
  • B. Jean Louis
    Jean Louis was a renowned French-born American costume designer celebrated for his glamorous Hollywood film and television wardrobe creations.
  • C. Jean Louis
    Jean Louis is the given name of Louis Barthou, a prominent French politician and statesman of the late 19th and early 20th centuries.
  • D. Jean-Marie
    Jean-Marie is a French given name most notably borne by Nobel Prize–winning chemist Jean-Marie Lehn.
  • E. Emmanuel-Joseph
    Emmanuel-Joseph is a masculine given name of French origin, notably borne by the influential French clergyman and revolutionary thinker Emmanuel-Joseph Sieyès.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f207dc819088a53f717736a121 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cefb7c08190bf69b15165f046d0 completed May 8, 2026, 4:18 p.m.
NEDg Description generation batch_69fe1a0e2820819092abfc2795ba4851 completed May 8, 2026, 5:14 p.m.
NED2 Entity disambiguation (via description) batch_69fe1a89d4d08190a2be8b4b0bc5a472 completed May 8, 2026, 5:16 p.m.
Created at: April 10, 2026, 1:30 a.m.