Triple

T11054332
Position Surface form Disambiguated ID Type / Status
Subject Yolanda Foster E261335 entity
Predicate workedAsModelIn P17880 FINISHED
Object Asia
Asia is the largest and most populous continent on Earth, encompassing a vast diversity of cultures, languages, and landscapes across its many countries.
 E2127 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: Asia | Statement: [Yolanda Foster, workedAsModelIn, Asia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Asia
Context triple: [Yolanda Foster, workedAsModelIn, Asia]
  • A. Asia
    Asia is a figure in Greek mythology, often considered an Oceanid nymph associated with the region that later bore her name.
  • B. Asia
    Asia is a figure in Greek mythology, often considered one of the Oceanids and associated with the region that later bore her name.
  • C. Asia
    Asia is a British rock supergroup formed in the early 1980s, known for its melodic progressive rock sound and hits like "Heat of the Moment."
  • D. Asia
    Asia is the world’s largest and most populous continent, encompassing diverse cultures, languages, and landscapes across the Eastern and Northern Hemispheres.
  • E. Asianet
    Asianet is a leading Malayalam-language television channel and entertainment network widely watched in the Indian state of Kerala and among the Malayali diaspora.
  • 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: Asia
Triple: [Yolanda Foster, workedAsModelIn, Asia]
Generated description
Asia is the largest and most populous continent on Earth, encompassing a vast diversity of cultures, languages, and landscapes across its many countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Asia
Target entity description: Asia is the largest and most populous continent on Earth, encompassing a vast diversity of cultures, languages, and landscapes across its many countries.
  • A. Asia chosen
    Asia is the world’s largest and most populous continent, encompassing diverse cultures, languages, and landscapes across the Eastern and Northern Hemispheres.
  • B. Asia
    Asia is a figure in Greek mythology, often considered an Oceanid nymph associated with the region that later bore her name.
  • C. Asia
    Asia is a figure in Greek mythology, often considered one of the Oceanids and associated with the region that later bore her name.
  • D. Asia
    Asia is a British rock supergroup formed in the early 1980s, known for its melodic progressive rock sound and hits like "Heat of the Moment."
  • E. Asianet
    Asianet is a leading Malayalam-language television channel and entertainment network widely watched in the Indian state of Kerala and among the Malayali diaspora.
  • F. None of above.

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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798a0890481909c1d4f9d5b23f33a completed April 9, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e74e1dc881908afc01b328cda843 completed April 18, 2026, 8:19 p.m.
NEDg Description generation batch_69e3f01f9d048190b553184f0f6ce29c completed April 18, 2026, 8:57 p.m.
NED2 Entity disambiguation (via description) batch_69e3f3fef9308190b0354ed436c32e4c completed April 18, 2026, 9:13 p.m.
Created at: April 8, 2026, 9:26 p.m.