Triple

T893005
Position Surface form Disambiguated ID Type / Status
Subject University of Edinburgh E19281 entity
Predicate hasNotableAlumnus P51 FINISHED
Object J. M. Barrie E62003 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: J. M. Barrie | Statement: [University of Edinburgh, hasNotableAlumnus, J. M. Barrie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: J. M. Barrie
Context triple: [University of Edinburgh, hasNotableAlumnus, J. M. Barrie]
  • A. J. M. Barrie chosen
    J. M. Barrie was a Scottish novelist and playwright best known as the creator of Peter Pan, the boy who wouldn’t grow up.
  • B. A. A. Milne
    A. A. Milne was an English author and playwright best known as the creator of the beloved children's character Winnie-the-Pooh.
  • C. Kenneth Grahame
    Kenneth Grahame was a British writer best known for his classic children’s novel "The Wind in the Willows," which has inspired numerous adaptations in literature and film.
  • D. Robert May
    Robert May was a prominent theoretical ecologist and mathematical biologist known for his influential work on population dynamics and the application of chaos theory to ecology.
  • E. L. Frank Baum
    L. Frank Baum was an American author best known for creating the beloved Oz series of children's fantasy novels.
  • 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_69a4939d37188190848be3d426ebc9ae completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad212cd8819091eb1b7d606f5afd completed March 1, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c025464081908032939637248635 completed March 4, 2026, 5:16 a.m.
Created at: March 1, 2026, 7:39 p.m.