Triple

T545045
Position Surface form Disambiguated ID Type / Status
Subject Clara Clemens E12714 entity
Predicate givenName P17 FINISHED
Object Clara
Clara is a feminine given name of Latin origin, derived from "clarus" meaning "bright" or "famous."
 E94446 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: Clara | Statement: [Clara Clemens, givenName, Clara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Clara
Context triple: [Clara Clemens, givenName, Clara]
  • A. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • B. Amalie
    Amalie is the given first name of the pioneering German mathematician Emmy Noether, renowned for her foundational contributions to abstract algebra and theoretical physics.
  • C. Dorothee
    Dorothee is a feminine given name, commonly used in German- and French-speaking countries, that is a variant of the name Dorothea.
  • D. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • E. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • 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: Clara
Triple: [Clara Clemens, givenName, Clara]
Generated description
Clara is a feminine given name of Latin origin, derived from "clarus" meaning "bright" or "famous."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Clara
Target entity description: Clara is a feminine given name of Latin origin, derived from "clarus" meaning "bright" or "famous."
  • A. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • B. Amalie
    Amalie is the given first name of the pioneering German mathematician Emmy Noether, renowned for her foundational contributions to abstract algebra and theoretical physics.
  • C. Dorothee
    Dorothee is a feminine given name, commonly used in German- and French-speaking countries, that is a variant of the name Dorothea.
  • D. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • E. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a498dfec5c81908b76d723b30dc2f0 completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a67eec3dfc8190bacde41a21cbf219 completed March 3, 2026, 6:25 a.m.
NEDg Description generation batch_69a67f6615188190ad526ba0875209a9 completed March 3, 2026, 6:27 a.m.
NED2 Entity disambiguation (via description) batch_69a6808069e08190bc6df238c91d24c4 completed March 3, 2026, 6:32 a.m.
Created at: March 1, 2026, 7:32 p.m.