Triple

T5204174
Position Surface form Disambiguated ID Type / Status
Subject Friedrich Schlegel E117466 entity
Predicate notableWork P4 FINISHED
Object Lucinde
Lucinde is an early Romantic novel by Friedrich Schlegel that blends autobiographical elements with philosophical reflections on love, art, and individuality.
E503330 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: Lucinde | Statement: [Friedrich Schlegel, notableWork, Lucinde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucinde
Context triple: [Friedrich Schlegel, notableWork, Lucinde]
  • A. Norala
    Norala is a rural municipality in the province of South Cotabato in the Philippines, known for its agricultural economy and multicultural communities.
  • B. Avallon
    Avallon is a historic commune in central France known for its medieval architecture and scenic location on a granite outcrop in the Burgundy region.
  • C. Lucinda
    Lucinda is a feminine given name used in various cultures, often considered a variant of Lucy or Lucille.
  • D. Pearre
    Pearre is a given name used as the middle name of U.S. Air Force General Charles Pearre Cabell.
  • E. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • 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: Lucinde
Triple: [Friedrich Schlegel, notableWork, Lucinde]
Generated description
Lucinde is an early Romantic novel by Friedrich Schlegel that blends autobiographical elements with philosophical reflections on love, art, and individuality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lucinde
Target entity description: Lucinde is an early Romantic novel by Friedrich Schlegel that blends autobiographical elements with philosophical reflections on love, art, and individuality.
  • A. Norala
    Norala is a rural municipality in the province of South Cotabato in the Philippines, known for its agricultural economy and multicultural communities.
  • B. Avallon
    Avallon is a historic commune in central France known for its medieval architecture and scenic location on a granite outcrop in the Burgundy region.
  • C. Lucinda
    Lucinda is a feminine given name used in various cultures, often considered a variant of Lucy or Lucille.
  • D. Pearre
    Pearre is a given name used as the middle name of U.S. Air Force General Charles Pearre Cabell.
  • E. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • 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_69bd4463dd3c81909966123f20b79d57 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a47c3c481909b49313f1bb0af0d completed March 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefca8a1c81908eec1baa65bb06a3 completed March 21, 2026, 7:21 p.m.
NEDg Description generation batch_69bef0b1fe9c8190bfc1be621c7c1c76 completed March 21, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_69bef16739148190b9700228be7d07f9 completed March 21, 2026, 7:28 p.m.
Created at: March 20, 2026, 1:47 p.m.