Triple

T21077453
Position Surface form Disambiguated ID Type / Status
Subject William Playfair E519275 entity
Predicate fullName P16 FINISHED
Object William Playfair NE NERFINISHED

How this triple was built (2 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: William Playfair | Statement: [William Playfair, fullName, William Playfair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Playfair
Context triple: [William Playfair, fullName, William Playfair]
  • A. William Playfair chosen
    William Playfair was a Scottish engineer and political economist best known for inventing several fundamental types of statistical graphs, including the bar chart, line graph, and pie chart.
  • B. William Henry Playfair
    William Henry Playfair was a prominent 19th-century Scottish architect renowned for shaping much of Edinburgh’s neoclassical cityscape.
  • C. John Venn
    John Venn was an English logician and philosopher best known for introducing Venn diagrams, which visually represent logical and set-theoretic relationships.
  • D. John Venn
    John Venn was an English Anglican priest and evangelical leader best known for his influential role in early 19th-century religious and missionary movements.
  • E. Edward R. Tufte
    Edward R. Tufte is an American statistician, political scientist, and pioneer in data visualization best known for his influential books on the visual display of quantitative information.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b506e59c8190849b71ed07929215 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e702d77b8081908ecfb05ab391fd39 completed April 21, 2026, 4:53 a.m.
Created at: April 16, 2026, 2:49 p.m.