Triple

T2177243
Position Surface form Disambiguated ID Type / Status
Subject Cynthia E48557 entity
Predicate relatedName P3889 FINISHED
Object Lucinda
Lucinda is a feminine given name used in various cultures, often considered a variant of Lucy or Lucille.
E242956 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: Lucinda | Statement: [Cynthia, relatedName, Lucinda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucinda
Context triple: [Cynthia, relatedName, Lucinda]
  • A. Catriona
    Catriona is a feminine given name of Gaelic origin, commonly used in Scotland and Ireland and often considered a variant of Katherine.
  • B. Celia
    Celia is the central character in the 1991 psychological drama film "Proof," around whom the story’s emotional and relational tensions revolve.
  • C. Cassandane
    Cassandane was a Persian noblewoman of the Achaemenid dynasty, best known as the queen consort of Cyrus the Great and mother of his successor Cambyses II.
  • D. Eleanora
    Eleanora is the birth name of legendary American jazz singer Billie Holiday, renowned for her emotive voice and influential recordings.
  • E. Lucia
    Lucia is a feminine given name of Latin origin, commonly associated with light and used in various European cultures.
  • 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: Lucinda
Triple: [Cynthia, relatedName, Lucinda]
Generated description
Lucinda is a feminine given name used in various cultures, often considered a variant of Lucy or Lucille.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lucinda
Target entity description: Lucinda is a feminine given name used in various cultures, often considered a variant of Lucy or Lucille.
  • A. Catriona
    Catriona is a feminine given name of Gaelic origin, commonly used in Scotland and Ireland and often considered a variant of Katherine.
  • B. Celia
    Celia is the central character in the 1991 psychological drama film "Proof," around whom the story’s emotional and relational tensions revolve.
  • C. Cassandane
    Cassandane was a Persian noblewoman of the Achaemenid dynasty, best known as the queen consort of Cyrus the Great and mother of his successor Cambyses II.
  • D. Eleanora
    Eleanora is the birth name of legendary American jazz singer Billie Holiday, renowned for her emotive voice and influential recordings.
  • E. Lucia
    Lucia is a feminine given name of Latin origin, commonly associated with light and used in various European cultures.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbeecdbc881909982a58568f0b1ed completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5da14e3881909f0beda339599938 completed March 9, 2026, 5:41 a.m.
NEDg Description generation batch_69ae5e5f023081909cd046b5850f8026 completed March 9, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69ae5ef99018819083a778378ea493e8 completed March 9, 2026, 5:47 a.m.
Created at: March 4, 2026, 7:45 p.m.