Triple

T12694708
Position Surface form Disambiguated ID Type / Status
Subject Fanny Davies E303299 entity
Predicate performedAt P270 FINISHED
Object Queen’s Hall E764536 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: Queen’s Hall | Statement: [Fanny Davies, performedAt, Queen’s Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queen’s Hall
Context triple: [Fanny Davies, performedAt, Queen’s Hall]
  • A. Queen’s Hall
    Queen’s Hall is a grand ceremonial and reception space within Melbourne’s Parliament House, historically used for official functions, exhibitions, and public events.
  • B. The Queen’s Hall
    The Queen’s Hall is a renowned concert venue in Edinburgh, Scotland, celebrated for its classical, jazz, and contemporary music performances.
  • C. Queens Hall
    Queens Hall is an indoor performance and event space within the Winter Gardens complex in Margate, England.
  • D. Queen's Hall, London chosen
    Queen's Hall, London was a prominent early 20th-century concert venue renowned for hosting major classical music performances and premieres before its destruction in World War II.
  • E. Albert Hall
    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.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ebd17081909f983567e4b36533 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671ae935c8190a7fc2cf3c0987248 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:22 p.m.