Triple

T18414756
Position Surface form Disambiguated ID Type / Status
Subject Ancel Keys E441857 entity
Predicate givenName P17 FINISHED
Object Ancel
Ancel is the given name of Ancel Keys, the American physiologist known for his influential research on diet, cholesterol, and cardiovascular disease.
E1322896 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: Ancel | Statement: [Ancel Keys, givenName, Ancel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ancel
Context triple: [Ancel Keys, givenName, Ancel]
  • A. Leandre
    Leandre is a French given name, cognate with Leander, traditionally associated with romantic and classical literary figures.
  • B. Akeanon
    Akeanon is a Central Philippine language variety spoken by the Aklanon people of Aklan province in the Philippines, noted for its distinctive phonology and vocabulary.
  • C. Dorion
    Dorion is a French-Canadian surname most notably associated with 19th-century politician and jurist Antoine-Aimé Dorion.
  • D. Ossernenon
    Ossernenon was a 17th-century Mohawk village in present-day New York, historically significant as the birthplace of Kateri Tekakwitha and the site of early Jesuit missions.
  • E. Salka
    Salka was an Austrian-American screenwriter, actress, and influential Hollywood salon hostess known for championing European émigré artists in the 1930s and 1940s.
  • 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: Ancel
Triple: [Ancel Keys, givenName, Ancel]
Generated description
Ancel is the given name of Ancel Keys, the American physiologist known for his influential research on diet, cholesterol, and cardiovascular disease.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ancel
Target entity description: Ancel is the given name of Ancel Keys, the American physiologist known for his influential research on diet, cholesterol, and cardiovascular disease.
  • A. Leandre
    Leandre is a French given name, cognate with Leander, traditionally associated with romantic and classical literary figures.
  • B. Akeanon
    Akeanon is a Central Philippine language variety spoken by the Aklanon people of Aklan province in the Philippines, noted for its distinctive phonology and vocabulary.
  • C. Dorion
    Dorion is a French-Canadian surname most notably associated with 19th-century politician and jurist Antoine-Aimé Dorion.
  • D. Ossernenon
    Ossernenon was a 17th-century Mohawk village in present-day New York, historically significant as the birthplace of Kateri Tekakwitha and the site of early Jesuit missions.
  • E. Salka
    Salka was an Austrian-American screenwriter, actress, and influential Hollywood salon hostess known for championing European émigré artists in the 1930s and 1940s.
  • 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a26d268819098e6791dc98efcda completed April 19, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03e24df9c08190af07a90f394bfc06 completed May 13, 2026, 2:30 a.m.
NEDg Description generation batch_6a03e6ca2b088190be240bbfe131d9d4 completed May 13, 2026, 2:49 a.m.
NED2 Entity disambiguation (via description) batch_6a03e71c8e9881909000ee5855afbd1d completed May 13, 2026, 2:51 a.m.
Created at: April 10, 2026, 10:47 a.m.