Triple

T9846503
Position Surface form Disambiguated ID Type / Status
Subject Le Beau Serge E239353 entity
Predicate settingLocation P40 FINISHED
Object Sardent
Sardent is a small rural commune in central France, best known as the village setting of Claude Chabrol’s film *Le Beau Serge*.
 E824852 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: Sardent | Statement: [Le Beau Serge, settingLocation, Sardent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sardent
Context triple: [Le Beau Serge, settingLocation, Sardent]
  • A. Souletin
    Souletin is a distinct dialect of the Basque language traditionally spoken in the Soule (Zuberoa) region of the French Basque Country.
  • B. Sabor
    Sabor is the unicameral national legislature and representative body of the Republic of Croatia.
  • C. Sabor
    Sabor is a river in northeastern Portugal that flows through the Trás-os-Montes region before joining the Douro River.
  • D. Navarin
    Navarin is an alternative name for the Battle of Navarino, a decisive 1827 naval engagement during the Greek War of Independence in which an Ottoman-Egyptian fleet was destroyed by a combined British, French, and Russian force.
  • E. Carosino
    Carosino is a small town and comune in the Apulia region of southern Italy, known for its wine production and proximity to the city of Taranto.
  • 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: Sardent
Triple: [Le Beau Serge, settingLocation, Sardent]
Generated description
Sardent is a small rural commune in central France, best known as the village setting of Claude Chabrol’s film *Le Beau Serge*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sardent
Target entity description: Sardent is a small rural commune in central France, best known as the village setting of Claude Chabrol’s film *Le Beau Serge*.
  • A. Souletin
    Souletin is a distinct dialect of the Basque language traditionally spoken in the Soule (Zuberoa) region of the French Basque Country.
  • B. Sabor
    Sabor is the unicameral national legislature and representative body of the Republic of Croatia.
  • C. Sabor
    Sabor is a river in northeastern Portugal that flows through the Trás-os-Montes region before joining the Douro River.
  • D. Navarin
    Navarin is an alternative name for the Battle of Navarino, a decisive 1827 naval engagement during the Greek War of Independence in which an Ottoman-Egyptian fleet was destroyed by a combined British, French, and Russian force.
  • E. Carosino
    Carosino is a small town and comune in the Apulia region of southern Italy, known for its wine production and proximity to the city of Taranto.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb36156308190b26892702f3b41e0 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5e1b67c8190ad7b57ea423511d8 completed April 5, 2026, 3:24 a.m.
NEDg Description generation batch_69d1d6a385ac8190b5dd11adfbb7578d completed April 5, 2026, 3:27 a.m.
NED2 Entity disambiguation (via description) batch_69d1d75210f4819096ee05a8b870581e completed April 5, 2026, 3:30 a.m.
Created at: March 30, 2026, 8:34 p.m.