Triple

T14118994
Position Surface form Disambiguated ID Type / Status
Subject Aurora Miranda E339854 entity
Predicate familyName P18 FINISHED
Object Miranda E111839 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: Miranda | Statement: [Aurora Miranda, familyName, Miranda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miranda
Context triple: [Aurora Miranda, familyName, Miranda]
  • A. Miranda chosen
    Miranda is a common Spanish-origin surname shared by numerous notable individuals across the arts, politics, and other fields.
  • B. Miranda
    Miranda is one of Uranus's major moons, known for its unusually varied and geologically complex surface featuring dramatic cliffs and patchwork terrains.
  • C. Miranda
    Miranda is the compassionate and innocent daughter of Prospero in Shakespeare’s play "The Tempest," known for her wonder at the world beyond the island where she has been raised.
  • D. Miranda
    Miranda is a small coastal settlement in New Zealand’s North Island, known for its shorebird habitat and hot mineral pools along the Firth of Thames.
  • E. Miranda
    Miranda is a major commercial and residential suburb in southern Sydney, New South Wales, known for its large shopping centre and transport links.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de609322ac8190bb389ca250882af5 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0bc60088190a7e2f0c9532304e3 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.