Triple

T10890750
Position Surface form Disambiguated ID Type / Status
Subject KiKi Layne E257166 entity
Predicate givenName P17 FINISHED
Object Kiandra
Kiandra is the given first name of American actress KiKi Layne, known for her roles in films such as "If Beale Street Could Talk" and "The Old Guard."
 E892226 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: Kiandra | Statement: [KiKi Layne, givenName, Kiandra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kiandra
Context triple: [KiKi Layne, givenName, Kiandra]
  • A. Sarina
    Sarina is a Dutch football manager and former player best known for coaching top international women’s national teams, including the Netherlands and England.
  • B. Sarina
    Sarina is a small coastal town and sugar-growing community in Queensland, Australia, located south of Mackay.
  • C. Vindrey
    Vindrey is a rural locality in Russia notable as the birthplace of Soviet Marshal Sergei Akhromeyev.
  • D. Palena
    Palena is a small town and municipality in the Palena Province of Chile’s Los Lagos Region, known for its remote Andean landscapes and outdoor tourism.
  • E. Nindra
    Nindra is a village and mandal in the Tirupati district of Andhra Pradesh, India.
  • 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: Kiandra
Triple: [KiKi Layne, givenName, Kiandra]
Generated description
Kiandra is the given first name of American actress KiKi Layne, known for her roles in films such as "If Beale Street Could Talk" and "The Old Guard."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kiandra
Target entity description: Kiandra is the given first name of American actress KiKi Layne, known for her roles in films such as "If Beale Street Could Talk" and "The Old Guard."
  • A. Sarina
    Sarina is a Dutch football manager and former player best known for coaching top international women’s national teams, including the Netherlands and England.
  • B. Sarina
    Sarina is a small coastal town and sugar-growing community in Queensland, Australia, located south of Mackay.
  • C. Vindrey
    Vindrey is a rural locality in Russia notable as the birthplace of Soviet Marshal Sergei Akhromeyev.
  • D. Palena
    Palena is a small town and municipality in the Palena Province of Chile’s Los Lagos Region, known for its remote Andean landscapes and outdoor tourism.
  • E. Nindra
    Nindra is a village and mandal in the Tirupati district of Andhra Pradesh, India.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7520550c4819081296546c8f534f1 completed April 9, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69e15500bb7881908b9799d7653aec72 completed April 16, 2026, 9:30 p.m.
NEDg Description generation batch_69e17d3060888190b3801272835b939a completed April 17, 2026, 12:22 a.m.
NED2 Entity disambiguation (via description) batch_69e1806bc1048190bcbff6f6d3d7da19 completed April 17, 2026, 12:35 a.m.
Created at: April 8, 2026, 9:21 p.m.