Triple

T8791768
Position Surface form Disambiguated ID Type / Status
Subject Jean E209182 entity
Predicate hasVariant P455 FINISHED
Object Jehan
Jehan is an archaic or variant French form of the given name Jean, historically used in medieval and early modern texts.
E756530 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: Jehan | Statement: [Jean, hasVariant, Jehan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jehan
Context triple: [Jean, hasVariant, Jehan]
  • A. Hadjera Zerga
    Hadjera Zerga is a town and commune located in Bouira Province in northern Algeria.
  • B. Jaffar
    Jaffar is the sinister vizier and main antagonist portrayed by Conrad Veidt in the 1940 fantasy film "The Thief of Bagdad."
  • C. Bajazet
    Bajazet is a 1672 French tragic play by Jean Racine set in the Ottoman court, known for its intense psychological drama and classical verse.
  • D. Cassim
    Cassim is Ali Baba’s wealthy but greedy older brother in the classic Middle Eastern folk tale "Ali Baba and the Forty Thieves."
  • E. Lakhdar
    Lakhdar is an Arabic masculine given name most notably borne by Algerian diplomat Lakhdar Brahimi.
  • 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: Jehan
Triple: [Jean, hasVariant, Jehan]
Generated description
Jehan is an archaic or variant French form of the given name Jean, historically used in medieval and early modern texts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jehan
Target entity description: Jehan is an archaic or variant French form of the given name Jean, historically used in medieval and early modern texts.
  • A. Hadjera Zerga
    Hadjera Zerga is a town and commune located in Bouira Province in northern Algeria.
  • B. Jaffar
    Jaffar is the sinister vizier and main antagonist portrayed by Conrad Veidt in the 1940 fantasy film "The Thief of Bagdad."
  • C. Bajazet
    Bajazet is a 1672 French tragic play by Jean Racine set in the Ottoman court, known for its intense psychological drama and classical verse.
  • D. Cassim
    Cassim is Ali Baba’s wealthy but greedy older brother in the classic Middle Eastern folk tale "Ali Baba and the Forty Thieves."
  • E. Lakhdar
    Lakhdar is an Arabic masculine given name most notably borne by Algerian diplomat Lakhdar Brahimi.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f8e6e4881909155c40c52bc082c completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf5220af84819095ddefd84fd9f369 completed April 3, 2026, 5:37 a.m.
NEDg Description generation batch_69cf5379dc748190a9b6522d7a68eed4 completed April 3, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cf54129d888190b61d67f99ad36cb8 completed April 3, 2026, 5:45 a.m.
Created at: March 30, 2026, 6:43 p.m.