Triple

T8155295
Position Surface form Disambiguated ID Type / Status
Subject Michael Morpurgo E190432 entity
Predicate name P16 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: [Michael Morpurgo, name, Michael Morpurgo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Morpurgo
Context triple: [Michael Morpurgo, name, 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. 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.
  • C. Andrew Davies
    Andrew Davies is a renowned British screenwriter celebrated for his acclaimed television adaptations of classic literature, including numerous works by Jane Austen.
  • D. Michael Bond
    Michael Bond was a British author best known for creating the beloved children's character Paddington Bear.
  • E. E. Nesbit
    E. Nesbit was a pioneering English author best known for her influential children's novels such as "The Railway Children" and "Five Children and It."
  • 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_69ccbf0f68c88190be9aab03de6bf4a0 completed April 1, 2026, 6:45 a.m.
Created at: March 30, 2026, 5:37 p.m.