Triple

T16535282
Position Surface form Disambiguated ID Type / Status
Subject Patricia Hodge E401674 entity
Predicate notableWork P4 FINISHED
Object Miranda
Miranda is a British television sitcom created by and starring Miranda Hart, known for its physical comedy and awkward, self-deprecating humor.
E1217828 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: [Patricia Hodge, notableWork, Miranda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miranda
Context triple: [Patricia Hodge, notableWork, Miranda]
  • A. Miranda
    "Miranda" is a song featured on the compilation album "Greatest Hits."
  • B. Miranda
    Miranda is a common Spanish-origin surname shared by numerous notable individuals across the arts, politics, and other fields.
  • C. Miranda
    Miranda is one of Uranus's major moons, known for its unusually varied and geologically complex surface featuring dramatic cliffs and patchwork terrains.
  • 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 central Venezuelan state that includes part of the Caracas metropolitan area and is one of the country’s most populous and economically significant regions.
  • 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: [Patricia Hodge, notableWork, Miranda]
Generated description
Miranda is a British television sitcom created by and starring Miranda Hart, known for its physical comedy and awkward, self-deprecating humor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Miranda
Target entity description: Miranda is a British television sitcom created by and starring Miranda Hart, known for its physical comedy and awkward, self-deprecating humor.
  • A. 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.
  • B. Miranda
    Miranda is a common Spanish-origin surname shared by numerous notable individuals across the arts, politics, and other fields.
  • 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 major commercial and residential suburb in southern Sydney, New South Wales, known for its large shopping centre and transport links.
  • E. 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.
  • F. None of above. chosen

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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e345574d88819094548367bf983078 completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006094dee481908757b84c10d0dc19 completed May 10, 2026, 10:40 a.m.
NEDg Description generation batch_6a0060eca9fc81908f376cd2f7219bcd completed May 10, 2026, 10:41 a.m.
NED2 Entity disambiguation (via description) batch_6a00622f44ec8190a7d66c7882ae28b2 completed May 10, 2026, 10:47 a.m.
Created at: April 10, 2026, 5:15 a.m.