Triple

T1378293
Position Surface form Disambiguated ID Type / Status
Subject Camilla, Queen Consort E29275 entity
Predicate familyName P18 FINISHED
Object Shand
Shand is the maiden surname of Camilla, Queen Consort of the United Kingdom.
 E158828 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: Shand | Statement: [Camilla, Queen Consort, familyName, Shand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shand
Context triple: [Camilla, Queen Consort, familyName, Shand]
  • A. Shan
    The Shan are a Tai ethnic group primarily inhabiting Myanmar's Shan State, known for their distinct language, Buddhist traditions, and historical Shan principalities.
  • B. Wushe
    Wushe is a mountainous region in central Taiwan historically inhabited by Indigenous Seediq people and known as the site of the 1930 Wushe Incident.
  • C. Shina
    Shina is an Indo-Aryan language spoken primarily in the Gilgit-Baltistan region of Pakistan and surrounding Himalayan areas.
  • D. Lu’an
    Lu’an is a prefecture-level city in western Anhui Province, China, known for its mountainous terrain, tea production, and historical sites.
  • E. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • 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: Shand
Triple: [Camilla, Queen Consort, familyName, Shand]
Generated description
Shand is the maiden surname of Camilla, Queen Consort of the United Kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shand
Target entity description: Shand is the maiden surname of Camilla, Queen Consort of the United Kingdom.
  • A. Shan
    The Shan are a Tai ethnic group primarily inhabiting Myanmar's Shan State, known for their distinct language, Buddhist traditions, and historical Shan principalities.
  • B. Wushe
    Wushe is a mountainous region in central Taiwan historically inhabited by Indigenous Seediq people and known as the site of the 1930 Wushe Incident.
  • C. Shina
    Shina is an Indo-Aryan language spoken primarily in the Gilgit-Baltistan region of Pakistan and surrounding Himalayan areas.
  • D. Lu’an
    Lu’an is a prefecture-level city in western Anhui Province, China, known for its mountainous terrain, tea production, and historical sites.
  • E. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • 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_69a498d883a48190bfdca525296ef7ee completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c3173548819082aec7c1af9c577c completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd488698481909411c004aadfcaec completed March 8, 2026, 1:44 a.m.
NEDg Description generation batch_69acd625592481908c688802ce8381ee completed March 8, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_69acd6daf83881909cf5a4105ebf14a5 completed March 8, 2026, 1:54 a.m.
Created at: March 1, 2026, 7:59 p.m.