Triple

T19400089
Position Surface form Disambiguated ID Type / Status
Subject Bruno Miranda E485298 entity
Predicate familyName P18 FINISHED
Object Miranda
Miranda is a common Spanish and Portuguese surname borne by numerous notable individuals across the arts, sports, and public life.
E111839 NE FINISHED

How this triple was built (4 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: [Bruno Miranda, familyName, Miranda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miranda
Context triple: [Bruno Miranda, familyName, Miranda]
  • A. Miranda
    Miranda is one of Uranus's major moons, known for its unusually varied and geologically complex surface featuring dramatic cliffs and patchwork terrains.
  • B. 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.
  • C. Miranda
    Miranda is a major commercial and residential suburb in southern Sydney, New South Wales, known for its large shopping centre and transport links.
  • D. Miranda
    "Miranda" is a song featured on the compilation album "Greatest Hits."
  • E. Miranda
    Miranda is a British television sitcom created by and starring Miranda Hart, known for its physical comedy and awkward, self-deprecating humor.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Miranda
Triple: [Bruno Miranda, familyName, Miranda]
Generated description
Miranda is a common Spanish and Portuguese surname borne by numerous notable individuals across the arts, sports, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Miranda
Target entity description: Miranda is a common Spanish and Portuguese surname borne by numerous notable individuals across the arts, sports, and public life.
  • 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 a Portuguese-origin surname notably associated with Brazilian entertainer Carmen Miranda and used by various individuals and fictional characters worldwide.
  • C. Miranda
    Miranda is a central Venezuelan state that includes part of the Caracas metropolitan area and is one of the country’s most populous and economically significant regions.
  • D. 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.
  • E. 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.
  • F. None of above.

Provenance (5 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6257692508190b658928e224d72d7 completed April 20, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a073b21257081909b351be1c4563ea3 completed May 15, 2026, 3:26 p.m.
NEDg Description generation batch_6a073bf80e048190baa1eef31454c36f completed May 15, 2026, 3:30 p.m.
NED2 Entity disambiguation (via description) batch_6a073c7caa108190b5617a71f2142fa9 completed May 15, 2026, 3:32 p.m.
Created at: April 10, 2026, 1:36 p.m.