Triple

T22304881
Position Surface form Disambiguated ID Type / Status
Subject Célia Šašić E551349 entity
Predicate givenName P17 FINISHED
Object Célia
Célia is a feminine given name used in various European languages, often considered a variant of Cécile or Celia.
 E1530420 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: Célia | Statement: [Célia Šašić, givenName, Célia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Célia
Context triple: [Célia Šašić, givenName, Célia]
  • A. Lélia
    Lélia is a philosophical and romantic novel by George Sand that explores themes of female desire, existential doubt, and social constraint in 19th-century France.
  • B. Marília
    Marília is a mid-sized city in the interior of Brazil known for its food industry, higher education institutions, and role as a regional economic hub.
  • C. Cecília de Araújo
    Cecília de Araújo is known as the wife of Mari Alkatiri, the first Prime Minister of an independent Timor-Leste.
  • D. Elza
    Elza is a feminine given name commonly used in Portuguese- and Spanish-speaking countries, often as a variant of Elsa.
  • E. Celia Franca
    Celia Franca was a British-Canadian dancer, choreographer, and artistic director who played a pivotal role in establishing professional ballet in Canada.
  • 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: Célia
Triple: [Célia Šašić, givenName, Célia]
Generated description
Célia is a feminine given name used in various European languages, often considered a variant of Cécile or Celia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Célia
Target entity description: Célia is a feminine given name used in various European languages, often considered a variant of Cécile or Celia.
  • A. Lélia
    Lélia is a philosophical and romantic novel by George Sand that explores themes of female desire, existential doubt, and social constraint in 19th-century France.
  • B. Marília
    Marília is a mid-sized city in the interior of Brazil known for its food industry, higher education institutions, and role as a regional economic hub.
  • C. Cecília de Araújo
    Cecília de Araújo is known as the wife of Mari Alkatiri, the first Prime Minister of an independent Timor-Leste.
  • D. Elza
    Elza is a feminine given name commonly used in Portuguese- and Spanish-speaking countries, often as a variant of Elsa.
  • E. Celia Franca
    Celia Franca was a British-Canadian dancer, choreographer, and artistic director who played a pivotal role in establishing professional ballet in Canada.
  • 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15726b7e48190b7636db01dbb8a40 completed April 29, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0acc9f16608190b6d1118238f96584 completed May 18, 2026, 8:23 a.m.
NEDg Description generation batch_6a0acec65ef48190a9961d2c03361258 completed May 18, 2026, 8:33 a.m.
NED2 Entity disambiguation (via description) batch_6a0acf8273388190ba99a4d5900a7cce completed May 18, 2026, 8:36 a.m.
Created at: April 16, 2026, 8:41 p.m.