Triple

T12432118
Position Surface form Disambiguated ID Type / Status
Subject Stendhal E297055 entity
Predicate notableWork P4 FINISHED
Object Armance
Armance is a 19th-century French novel by Stendhal that explores themes of unrequited love, social ambition, and psychological conflict within Parisian high society.
E980986 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: Armance | Statement: [Stendhal, notableWork, Armance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armance
Context triple: [Stendhal, notableWork, Armance]
  • A. Armance
    Armance is a river in central-eastern France that serves as a tributary of the Armançon.
  • B. Armant
    Armant is a city in Egypt’s Luxor Governorate, known for its ancient Egyptian heritage and archaeological sites.
  • C. Brecheret
    Brecheret is the surname of Victor Brecheret, a prominent Italian-Brazilian modernist sculptor known for his monumental public works in Brazil.
  • D. Arleng
    Arleng is an alternative name for the Karbi language spoken by the Karbi people of Northeast India.
  • E. Pelineon
    Pelineon is a prominent mountain located on the Greek island of Chios in the Aegean Sea.
  • 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: Armance
Triple: [Stendhal, notableWork, Armance]
Generated description
Armance is a 19th-century French novel by Stendhal that explores themes of unrequited love, social ambition, and psychological conflict within Parisian high society.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Armance
Target entity description: Armance is a 19th-century French novel by Stendhal that explores themes of unrequited love, social ambition, and psychological conflict within Parisian high society.
  • A. Armance
    Armance is a river in central-eastern France that serves as a tributary of the Armançon.
  • B. Armant
    Armant is a city in Egypt’s Luxor Governorate, known for its ancient Egyptian heritage and archaeological sites.
  • C. Brecheret
    Brecheret is the surname of Victor Brecheret, a prominent Italian-Brazilian modernist sculptor known for his monumental public works in Brazil.
  • D. Arleng
    Arleng is an alternative name for the Karbi language spoken by the Karbi people of Northeast India.
  • E. Pelineon
    Pelineon is a prominent mountain located on the Greek island of Chios in the Aegean Sea.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7f2fd08190ab959742dbd8f9c0 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6349d29c481909a37fd386cc06575 completed May 2, 2026, 5:30 p.m.
NEDg Description generation batch_69f635c3782c8190ad9a1f7e3aa9748a completed May 2, 2026, 5:34 p.m.
NED2 Entity disambiguation (via description) batch_69f636d727a08190882eec3fd664b64d completed May 2, 2026, 5:39 p.m.
Created at: April 8, 2026, 9:55 p.m.