Triple

T5279963
Position Surface form Disambiguated ID Type / Status
Subject Le Malade imaginaire E119470 entity
Predicate mainCharacter P1183 FINISHED
Object Argan
Argan is the hypochondriac protagonist of Molière’s comedy "Le Malade imaginaire," whose obsessive fear of illness drives the play’s satire of medicine and society.
 E509281 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: Argan | Statement: [Le Malade imaginaire, mainCharacter, Argan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Argan
Context triple: [Le Malade imaginaire, mainCharacter, Argan]
  • A. Arganil
    Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
  • B. Chenoua
    Chenoua is a Berber (Amazigh) language variety spoken by the Chenoua people in northern Algeria.
  • C. Berbera
    Berbera is a major port city on the Gulf of Aden in Somaliland, serving as a key maritime hub for trade in the Horn of Africa.
  • D. Jahra
    Jahra is a major town and administrative center in western Kuwait, known historically as an agricultural area and now as a growing suburban and commercial hub.
  • E. Tissi
    Tissi is a small municipality in the Sardinia region of Italy, located in the province of Sassari.
  • 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: Argan
Triple: [Le Malade imaginaire, mainCharacter, Argan]
Generated description
Argan is the hypochondriac protagonist of Molière’s comedy "Le Malade imaginaire," whose obsessive fear of illness drives the play’s satire of medicine and society.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Argan
Target entity description: Argan is the hypochondriac protagonist of Molière’s comedy "Le Malade imaginaire," whose obsessive fear of illness drives the play’s satire of medicine and society.
  • A. Arganil
    Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
  • B. Chenoua
    Chenoua is a Berber (Amazigh) language variety spoken by the Chenoua people in northern Algeria.
  • C. Berbera
    Berbera is a major port city on the Gulf of Aden in Somaliland, serving as a key maritime hub for trade in the Horn of Africa.
  • D. Jahra
    Jahra is a major town and administrative center in western Kuwait, known historically as an agricultural area and now as a growing suburban and commercial hub.
  • E. Tissi
    Tissi is a small municipality in the Sardinia region of Italy, located in the province of Sassari.
  • 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_69bd446d05a8819092ad333a3f9c8d5c completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84c409248190a0154a660f58e096 completed March 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06dd56a08190a7cfef614e5990f4 completed March 21, 2026, 9 p.m.
NEDg Description generation batch_69bf08eb8a50819092df2f12679fbca0 completed March 21, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69bf0cd1307481909a60298929af7699 completed March 21, 2026, 9:25 p.m.
Created at: March 20, 2026, 1:52 p.m.