Triple

T21159082
Position Surface form Disambiguated ID Type / Status
Subject P-Valley E521387 entity
Predicate creator P184 FINISHED
Object Katori 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: Katori Hall | Statement: [P-Valley, creator, Katori Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katori Hall
Context triple: [P-Valley, creator, Katori Hall]
  • A. Katori Hall chosen
    Katori Hall is an acclaimed American playwright, screenwriter, and director best known for works like "The Mountaintop" and for bringing Black Southern experiences to the contemporary stage and screen.
  • B. Vondie Curtis-Hall
    Vondie Curtis-Hall is an American actor and filmmaker known for his work in film and television, both in front of and behind the camera.
  • C. Tahesha Way
    Tahesha Way is an American attorney and Democratic politician serving as the lieutenant governor of New Jersey.
  • D. Aja Naomi King
    Aja Naomi King is an American actress best known for her role as Michaela Pratt on the television series "How to Get Away with Murder" and for her work in various film and television dramas.
  • E. Lenda Murray
    Lenda Murray is an American professional bodybuilder widely regarded as one of the greatest female competitors in the sport’s history, known for winning multiple Ms. Olympia titles in the 1990s.
  • 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7252e9ef481908f4904c535f3da8b completed April 21, 2026, 7:20 a.m.
Created at: April 16, 2026, 2:59 p.m.