Triple

T17496472
Position Surface form Disambiguated ID Type / Status
Subject Albert Hall E426073 entity
Predicate name P16 FINISHED
Object Albert Hall NE NERFINISHED

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: Albert Hall | Statement: [Albert Hall, name, Albert Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Hall
Context triple: [Albert Hall, name, Albert Hall]
  • A. Albert Hall chosen
    Albert Hall is an American actor known for his work in film, television, and theater, including notable roles in movies such as Malcolm X and Apocalypse Now.
  • B. Royal Albert Hall
    Royal Albert Hall is a historic, world-famous concert hall in London renowned for hosting major classical, rock, and cultural performances and events.
  • C. St George Hall
    St George Hall is a grand state reception and ceremonial hall within the Winter Palace in Saint Petersburg, renowned for its opulent neoclassical interior and role in major imperial events.
  • D. Queens Hall
    Queens Hall is an indoor performance and event space within the Winter Gardens complex in Margate, England.
  • E. Music Hall
    Music Hall is a historic performing arts theater in Kansas City known for hosting concerts, Broadway shows, and other live entertainment events.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4520e9c8c8190aa955766bc915d26 completed April 19, 2026, 3:54 a.m.
Created at: April 10, 2026, 5:48 a.m.