Triple

T9663152
Position Surface form Disambiguated ID Type / Status
Subject Cretan hieroglyphs E233635 entity
Predicate studiedBy P1945 FINISHED
Object Jean-Pierre Olivier
Jean-Pierre Olivier is a scholar and epigrapher known for his research on Aegean scripts, particularly the undeciphered Cretan hieroglyphs.
E822003 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-Pierre Olivier | Statement: [Cretan hieroglyphs, studiedBy, Jean-Pierre Olivier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean-Pierre Olivier
Context triple: [Cretan hieroglyphs, studiedBy, Jean-Pierre Olivier]
  • A. Jean-Claude Olivier
    Jean-Claude Olivier is a writer associated with the Juicy brand or publication.
  • B. Jean-Claude Olivier
    Jean-Claude Olivier is a music producer best known for his work on George Michael’s landmark album "Faith."
  • C. Jean-Luc Ourgaud
    Jean-Luc Ourgaud is a French local politician who serves as the mayor of the suburban commune of Montigny-le-Bretonneux, near Paris.
  • D. Jean-Pierre Darroussin
    Jean-Pierre Darroussin is a French actor and filmmaker known for his nuanced performances in both comedy and drama, particularly in contemporary French cinema.
  • E. Laurent Jouvenet
    Laurent Jouvenet was a French painter of the 17th century, known as the father of the more famous Baroque artist Jean Jouvenet.
  • 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-Pierre Olivier
Triple: [Cretan hieroglyphs, studiedBy, Jean-Pierre Olivier]
Generated description
Jean-Pierre Olivier is a scholar and epigrapher known for his research on Aegean scripts, particularly the undeciphered Cretan hieroglyphs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jean-Pierre Olivier
Target entity description: Jean-Pierre Olivier is a scholar and epigrapher known for his research on Aegean scripts, particularly the undeciphered Cretan hieroglyphs.
  • A. Jean-Claude Olivier
    Jean-Claude Olivier is a writer associated with the Juicy brand or publication.
  • B. Jean-Claude Olivier
    Jean-Claude Olivier is a music producer best known for his work on George Michael’s landmark album "Faith."
  • C. Jean-Luc Ourgaud
    Jean-Luc Ourgaud is a French local politician who serves as the mayor of the suburban commune of Montigny-le-Bretonneux, near Paris.
  • D. Jean-Pierre Darroussin
    Jean-Pierre Darroussin is a French actor and filmmaker known for his nuanced performances in both comedy and drama, particularly in contemporary French cinema.
  • E. Laurent Jouvenet
    Laurent Jouvenet was a French painter of the 17th century, known as the father of the more famous Baroque artist Jean Jouvenet.
  • 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_69ca848d3b6c8190ae98ea554dea58df completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c0cde048190b5a8e1548825d4d9 completed April 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c3ffbf848190a3e444068fea0a4b completed April 5, 2026, 2:07 a.m.
NEDg Description generation batch_69d1c4fc4cc88190b020f672b9f9ba27 completed April 5, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_69d1c5a1cfb08190b6c16e5309dbf2b8 completed April 5, 2026, 2:14 a.m.
Created at: March 30, 2026, 8:14 p.m.