Triple

T12960481
Position Surface form Disambiguated ID Type / Status
Subject Les Souffrances de l’inventeur E310128 entity
Predicate featuresCharacter P626 FINISHED
Object Cérizet
Cérizet is a scheming, opportunistic former clerk who becomes a key antagonist in Honoré de Balzac’s novel "Les Souffrances de l’inventeur."
 E1013457 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: Cérizet | Statement: [Les Souffrances de l’inventeur, featuresCharacter, Cérizet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cérizet
Context triple: [Les Souffrances de l’inventeur, featuresCharacter, Cérizet]
  • A. Ceret
    Ceret is a historic town in southern France’s Pyrénées-Orientales, renowned for its modern art museum and strong Catalan cultural heritage.
  • B. Cèze
    The Cèze is a river in southern France known for its scenic gorges, clear waters, and popular swimming and canoeing spots.
  • C. Cigales
    Cigales is a small town in the province of Valladolid, Spain, known historically as a royal residence and for its wine production.
  • D. Malaucène
    Malaucène is a picturesque Provençal village in southeastern France, known as a popular base for cyclists and tourists visiting and climbing Mont Ventoux.
  • E. Lezoux
    Lezoux is a commune in central France’s Puy-de-Dôme department, known historically for its significant Roman pottery production.
  • 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: Cérizet
Triple: [Les Souffrances de l’inventeur, featuresCharacter, Cérizet]
Generated description
Cérizet is a scheming, opportunistic former clerk who becomes a key antagonist in Honoré de Balzac’s novel "Les Souffrances de l’inventeur."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cérizet
Target entity description: Cérizet is a scheming, opportunistic former clerk who becomes a key antagonist in Honoré de Balzac’s novel "Les Souffrances de l’inventeur."
  • A. Ceret
    Ceret is a historic town in southern France’s Pyrénées-Orientales, renowned for its modern art museum and strong Catalan cultural heritage.
  • B. Cèze
    The Cèze is a river in southern France known for its scenic gorges, clear waters, and popular swimming and canoeing spots.
  • C. Cigales
    Cigales is a small town in the province of Valladolid, Spain, known historically as a royal residence and for its wine production.
  • D. Malaucène
    Malaucène is a picturesque Provençal village in southeastern France, known as a popular base for cyclists and tourists visiting and climbing Mont Ventoux.
  • E. Lezoux
    Lezoux is a commune in central France’s Puy-de-Dôme department, known historically for its significant Roman pottery production.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e2e44908190bb8b43fc5c3b8a8a completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8e006cc819091e5f4b044cadea4 completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6b9dac2c88190850304023f156969 completed May 3, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb03d8d88190930edd0f49fec8aa completed May 3, 2026, 3:03 a.m.
Created at: April 9, 2026, 5:44 p.m.