Triple

T9235800
Position Surface form Disambiguated ID Type / Status
Subject Malcolm Washington E221932 entity
Predicate sibling P363 FINISHED
Object Katia Washington E281031 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: Katia Washington | Statement: [Malcolm Washington, sibling, Katia Washington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katia Washington
Context triple: [Malcolm Washington, sibling, Katia Washington]
  • A. Katia Washington chosen
    Katia Washington is an American film producer and the daughter of acclaimed actor Denzel Washington.
  • B. Yvette Williams
    Yvette Williams was a pioneering New Zealand long jumper and Olympic gold medallist who became one of the country’s most celebrated track and field athletes of the 1950s.
  • C. Melinda Washington
    Melinda Washington is the child of Joshua Washington, known primarily in relation to him.
  • D. Yvette Wilson
    Yvette Wilson was an American comedian and actress best known for her role as Andell Wilkerson on the sitcoms "Moesha" and its spin-off "The Parkers."
  • E. Larissa Weems
    Larissa Weems is a character from the Netflix series "Wednesday," serving as the poised and enigmatic principal of Nevermore Academy.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccf09d42488190b8ccb9c4b62fdda8 completed April 1, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077cc774c8190bdbdd4071c11f096 completed April 4, 2026, 2:30 a.m.
Created at: March 30, 2026, 7:29 p.m.