Triple

T2940275
Position Surface form Disambiguated ID Type / Status
Subject Queen Pool E79368 entity
Predicate associatedWith P37 FINISHED
Object Capability Brown E57951 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: Capability Brown | Statement: [Queen Pool, associatedWith, Capability Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Capability Brown
Context triple: [Queen Pool, associatedWith, Capability Brown]
  • A. Capability Brown chosen
    Capability Brown was an 18th-century English landscape architect renowned for transforming grand country estates into naturalistic, sweeping parklands that defined the English landscape garden style.
  • B. Mark Brown
    Mark Brown is an American filmmaker and screenwriter best known for writing and directing the romantic comedy film "Two Can Play That Game."
  • C. Jonathan Brown
    Jonathan Brown is a cinematographer best known for his work on major studio comedies and mainstream Hollywood films, including the 2006 reboot of The Pink Panther.
  • D. Keith Brown
    Keith Brown is a Scottish politician who has served as a senior figure in the Scottish National Party, including in ministerial roles in the Scottish Government.
  • E. Christopher Browne
    Christopher Browne is a screenwriter known for his work on the biographical drama film "The Walk."
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad986f38948190a636a826693a9d4f completed March 8, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b08686b0388190a214ad8a615f2da5 completed March 10, 2026, 9 p.m.
Created at: March 8, 2026, 2:56 p.m.