Triple

T8719196
Position Surface form Disambiguated ID Type / Status
Subject Les Châtiments E206968 entity
Predicate containsPoem P21160 FINISHED
Object Lui
"Lui" is a poem by Victor Hugo included in his politically charged collection *Les Châtiments*, known for its satirical and critical tone.
 E754059 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: Lui | Statement: [Les Châtiments, containsPoem, Lui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lui
Context triple: [Les Châtiments, containsPoem, Lui]
  • A. Gian
    Gian is an Italian given name, typically used as a short form or variant of Giovanni (the Italian equivalent of John).
  • B. Laurenz
    Laurenz is a given name and surname, primarily used in German-speaking regions, that is a variant of the name Lawrence.
  • C. Laurenti
    Laurenti is a surname of Italian origin associated with figures such as the 18th-century naturalist Josephus Nicolaus Laurenti.
  • D. Forlani
    Forlani is an Italian surname most notably associated with English actress Claire Forlani.
  • E. Julii Sabini
    Julii Sabini is a branch of the ancient Roman Julii family, likely representing a specific lineage or subgroup within this prominent patrician gens.
  • 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: Lui
Triple: [Les Châtiments, containsPoem, Lui]
Generated description
"Lui" is a poem by Victor Hugo included in his politically charged collection *Les Châtiments*, known for its satirical and critical tone.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lui
Target entity description: "Lui" is a poem by Victor Hugo included in his politically charged collection *Les Châtiments*, known for its satirical and critical tone.
  • A. Gian
    Gian is an Italian given name, typically used as a short form or variant of Giovanni (the Italian equivalent of John).
  • B. Laurenz
    Laurenz is a given name and surname, primarily used in German-speaking regions, that is a variant of the name Lawrence.
  • C. Laurenti
    Laurenti is a surname of Italian origin associated with figures such as the 18th-century naturalist Josephus Nicolaus Laurenti.
  • D. Forlani
    Forlani is an Italian surname most notably associated with English actress Claire Forlani.
  • E. Julii Sabini
    Julii Sabini is a branch of the ancient Roman Julii family, likely representing a specific lineage or subgroup within this prominent patrician gens.
  • 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_69ca83572d4881909bef3be2b578d539 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_69cf28ec7148819096f7fa33e4588b62 completed April 3, 2026, 2:41 a.m.
NEDg Description generation batch_69cf2bd222b08190907ba7e98991996e completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2fcb5e7c819086b441d1ef4fc368 completed April 3, 2026, 3:11 a.m.
Created at: March 30, 2026, 6:36 p.m.