Triple

T8155478
Position Surface form Disambiguated ID Type / Status
Subject Captain Nicholls E190437 entity
Predicate creator P184 FINISHED
Object Michael Morpurgo E190432 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: Michael Morpurgo | Statement: [Captain Nicholls, creator, Michael Morpurgo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Morpurgo
Context triple: [Captain Nicholls, creator, Michael Morpurgo]
  • A. Michael Morpurgo chosen
    Michael Morpurgo is a British children's author renowned for his emotionally powerful historical novels, including the acclaimed book "War Horse."
  • B. Clare Morpurgo
    Clare Morpurgo is a British philanthropist and former publisher, known for her charitable work and as the wife of children's author Michael Morpurgo.
  • C. Judith Kerr
    Judith Kerr was a German-born British writer and illustrator best known for her classic children’s books such as "The Tiger Who Came to Tea" and the "Mog" series.
  • D. Andrew Davies
    Andrew Davies is a renowned British screenwriter celebrated for his acclaimed television adaptations of classic literature, including numerous works by Jane Austen.
  • E. Michael Bond
    Michael Bond was a British author best known for creating the beloved children's character Paddington Bear.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44d725b88190b77dc7537c1fa95d completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd67a886948190a728909f8381c2f1 completed April 1, 2026, 6:44 p.m.
Created at: March 30, 2026, 5:37 p.m.