Triple

T16588315
Position Surface form Disambiguated ID Type / Status
Subject Ric Ocasek E403016 entity
Predicate notableWork P4 FINISHED
Object Panorama E1051557 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: Panorama | Statement: [Ric Ocasek, notableWork, Panorama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panorama
Context triple: [Ric Ocasek, notableWork, Panorama]
  • A. Panorama
    Panorama is Trinidad and Tobago’s premier national steelband competition, showcasing the country’s steelpan music during the Carnival season.
  • B. Panorama
    Panorama is a prominent sidebar section of the Berlin International Film Festival that showcases innovative, independent, and socially engaged films from around the world.
  • C. Panorama
    Panorama is a long-running BBC television current affairs documentary programme known for its investigative journalism and in-depth reporting on political and social issues.
  • D. Panorama
    Panorama is a notable musical number from the stage musical "The Sleeping Beauty."
  • E. Panorama chosen
    "Panorama" is the third studio album by American rock band The Cars, noted for its darker, more experimental new wave sound compared to their earlier releases.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3599e79288190b6bcdb6fe4a2d1fa completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007599dcd4819089bbd0569b3d9a12 completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:16 a.m.