Triple

T1040689
Position Surface form Disambiguated ID Type / Status
Subject Open Knowledge Foundation E22462 entity
Predicate founder P104 FINISHED
Object Rufus Pollock E68486 NE FINISHED

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: Rufus Pollock | Statement: [Open Knowledge Foundation, founder, Rufus Pollock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rufus Pollock
Context triple: [Open Knowledge Foundation, founder, Rufus Pollock]
  • A. Rufus Pollock chosen
    Rufus Pollock is a British economist, technologist, and open data advocate best known as a co-founder and leading figure in the global open knowledge and open government data movements.
  • B. Rudulph Evans
    Rudulph Evans was an American sculptor best known for creating the statue of Thomas Jefferson housed in the Jefferson Memorial in Washington, D.C.
  • C. Edward Holcroft
    Edward Holcroft is a British actor known for his roles in film and television, including appearances in the Kingsman franchise and the series London Spy.
  • D. Ernest Poole
    Ernest Poole was an American novelist and journalist best known for his socially conscious fiction and as the inaugural recipient of the Pulitzer Prize for the Novel (now Fiction).
  • E. James Dodd
    James Dodd is an actor known for his role in the fantasy superhero film "Hellboy II: The Golden Army."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b82e4d2c81909ca1264852baf04d completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15899808819090f6e26a40f7b2aa completed March 8, 2026, 6:22 a.m.
Created at: March 1, 2026, 7:41 p.m.