Triple

T12331749
Position Surface form Disambiguated ID Type / Status
Subject Loud Records E293976 entity
Predicate signedArtist P16560 FINISHED
Object Davina
Davina is an R&B singer and songwriter known for her work in the 1990s music scene.
E976684 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: Davina | Statement: [Loud Records, signedArtist, Davina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Davina
Context triple: [Loud Records, signedArtist, Davina]
  • A. Davina
    Davina is a feminine given name, often considered a variant of David, used in various cultures.
  • B. Adrienne
    Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
  • C. Daria Johns
    Daria Johns is an American child actress known for her role in the Netflix film "Nappily Ever After" and appearances in various television series.
  • D. Bree Davenport
    Bree Davenport is a central character in the Disney XD series "Lab Rats," known as a bionic teenager with super speed and a strong, determined personality.
  • E. Tess McGill
    Tess McGill is the ambitious, street-smart Staten Island secretary who fights to advance her career in the 1988 film "Working Girl."
  • 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: Davina
Triple: [Loud Records, signedArtist, Davina]
Generated description
Davina is an R&B singer and songwriter known for her work in the 1990s music scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Davina
Target entity description: Davina is an R&B singer and songwriter known for her work in the 1990s music scene.
  • A. Davina
    Davina is a feminine given name, often considered a variant of David, used in various cultures.
  • B. Adrienne
    Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
  • C. Daria Johns
    Daria Johns is an American child actress known for her role in the Netflix film "Nappily Ever After" and appearances in various television series.
  • D. Bree Davenport
    Bree Davenport is a central character in the Disney XD series "Lab Rats," known as a bionic teenager with super speed and a strong, determined personality.
  • E. Tess McGill
    Tess McGill is the ambitious, street-smart Staten Island secretary who fights to advance her career in the 1988 film "Working Girl."
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f634ee08190b4f533505d402219 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e9114f48190988b84eaec2e810f completed May 2, 2026, 3:56 p.m.
NEDg Description generation batch_69f61fd2429c8190a8a7c46c312e262d completed May 2, 2026, 4:01 p.m.
NED2 Entity disambiguation (via description) batch_69f623f5aa608190bce3e62e08077216 completed May 2, 2026, 4:19 p.m.
Created at: April 8, 2026, 9:53 p.m.