Triple

T8719447
Position Surface form Disambiguated ID Type / Status
Subject L'Homme qui rit E206974 entity
Predicate mainCharacter P1183 FINISHED
Object Josiane
Josiane is a central character in Victor Hugo's novel "L'Homme qui rit," known as a beautiful yet morally complex noblewoman whose actions significantly influence the tragic narrative.
 E754954 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: Josiane | Statement: [L'Homme qui rit, mainCharacter, Josiane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Josiane
Context triple: [L'Homme qui rit, mainCharacter, Josiane]
  • A. Viviane
    Viviane is a legendary enchantress of Arthurian romance, often identified as the Lady of the Lake and known for her role in mentoring and imprisoning the wizard Merlin.
  • B. Martine
    Martine is a feminine given name commonly used in French- and English-speaking countries.
  • C. Alessandra
    Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
  • D. Léa
    Léa is a French feminine given name commonly used in Francophone countries.
  • E. Aline
    Aline is a feminine given name of French origin, commonly used in various cultures and languages.
  • 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: Josiane
Triple: [L'Homme qui rit, mainCharacter, Josiane]
Generated description
Josiane is a central character in Victor Hugo's novel "L'Homme qui rit," known as a beautiful yet morally complex noblewoman whose actions significantly influence the tragic narrative.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Josiane
Target entity description: Josiane is a central character in Victor Hugo's novel "L'Homme qui rit," known as a beautiful yet morally complex noblewoman whose actions significantly influence the tragic narrative.
  • A. Viviane
    Viviane is a legendary enchantress of Arthurian romance, often identified as the Lady of the Lake and known for her role in mentoring and imprisoning the wizard Merlin.
  • B. Martine
    Martine is a feminine given name commonly used in French- and English-speaking countries.
  • C. Alessandra
    Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
  • D. Léa
    Léa is a French feminine given name commonly used in Francophone countries.
  • E. Aline
    Aline is a feminine given name of French origin, commonly used in various cultures and languages.
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d014e208190a4c6055901580d0c completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42a3efa881908ffc5e1a257fd472 completed April 3, 2026, 4:31 a.m.
NEDg Description generation batch_69cf449d717c819086c4bfd23a93ca2c completed April 3, 2026, 4:39 a.m.
NED2 Entity disambiguation (via description) batch_69cf4578473081909fc55632c366a56a completed April 3, 2026, 4:43 a.m.
Created at: March 30, 2026, 6:36 p.m.