Triple

T1105868
Position Surface form Disambiguated ID Type / Status
Subject Les Misérables (2012 film) E25485 entity
Predicate mainCharacter P1183 FINISHED
Object Fantine
Fantine is a tragic young mother in Victor Hugo's Les Misérables, whose descent into poverty and sacrifice for her child embodies the novel’s social injustice and emotional core.
E126518 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: Fantine | Statement: [Les Misérables (2012 film), mainCharacter, Fantine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fantine
Context triple: [Les Misérables (2012 film), mainCharacter, Fantine]
  • A. Pierrette
    Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
  • B. Marguerite
    Marguerite is a French given name, equivalent to Margaret, commonly used for women and also meaning "daisy" in French.
  • C. Dugny
    Dugny is a commune in the northeastern suburbs of Paris, France, situated near Le Bourget Airport and known for its proximity to major aviation and aerospace facilities.
  • D. Marguerite De La Motte
    Marguerite De La Motte was an American silent film actress best known for her leading roles in early 1920s adventure and drama films.
  • E. Marguerite Gaudelet
    Marguerite Gaudelet was the wife of French civil engineer Gustave Eiffel, famed designer of the Eiffel Tower.
  • 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: Fantine
Triple: [Les Misérables (2012 film), mainCharacter, Fantine]
Generated description
Fantine is a tragic young mother in Victor Hugo's Les Misérables, whose descent into poverty and sacrifice for her child embodies the novel’s social injustice and emotional core.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fantine
Target entity description: Fantine is a tragic young mother in Victor Hugo's Les Misérables, whose descent into poverty and sacrifice for her child embodies the novel’s social injustice and emotional core.
  • A. Pierrette
    Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
  • B. Marguerite
    Marguerite is a French given name, equivalent to Margaret, commonly used for women and also meaning "daisy" in French.
  • C. Dugny
    Dugny is a commune in the northeastern suburbs of Paris, France, situated near Le Bourget Airport and known for its proximity to major aviation and aerospace facilities.
  • D. Marguerite De La Motte
    Marguerite De La Motte was an American silent film actress best known for her leading roles in early 1920s adventure and drama films.
  • E. Marguerite Gaudelet
    Marguerite Gaudelet was the wife of French civil engineer Gustave Eiffel, famed designer of the Eiffel Tower.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e339f88190afc027216e95d2f7 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c4cee1881909ca8af01f22bb8bb completed March 7, 2026, 4:03 p.m.
NEDg Description generation batch_69ac4d1d58ac8190b1fc39a28aff8c46 completed March 7, 2026, 4:06 p.m.
NED2 Entity disambiguation (via description) batch_69ac4d90c3dc819092f6be4888851477 completed March 7, 2026, 4:08 p.m.
Created at: March 1, 2026, 7:43 p.m.