Triple

T14215125
Position Surface form Disambiguated ID Type / Status
Subject Miranda E352329 entity
Predicate raisedBy P17573 FINISHED
Object Prospero E345026 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: Prospero | Statement: [Miranda, raisedBy, Prospero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prospero
Context triple: [Miranda, raisedBy, Prospero]
  • A. Prospero chosen
    Prospero is the powerful sorcerer and rightful Duke of Milan who orchestrates the events on a remote island in Shakespeare’s play "The Tempest."
  • B. Prospero
    Prospero was the birth name of Pope Benedict XIV, an 18th-century pope noted for his scholarship and efforts to reconcile church doctrine with Enlightenment thought.
  • C. Prospero
    Prospero is the internal codename that was reportedly used by Sony during the development of the PlayStation 5 console.
  • D. Prospero and Ariel
    Prospero and Ariel is a prominent sculpture by Eric Gill depicting characters from Shakespeare’s "The Tempest," installed on the façade of BBC’s Broadcasting House in London.
  • E. Joe Prospero
    Joe Prospero is a British actor best known for his role as one of the Llewelyn Davies boys in the film "Finding Neverland."
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de620f07bc81909212dcd1c91b5f95 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd324d66a48190b58f6ce3a7c7facc completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:06 a.m.