Triple

T12479025
Position Surface form Disambiguated ID Type / Status
Subject The Adventures of Kathlyn E298253 entity
Predicate leadActor P1507 FINISHED
Object Kathlyn Williams E1047797 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: Kathlyn Williams | Statement: [The Adventures of Kathlyn, leadActor, Kathlyn Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kathlyn Williams
Context triple: [The Adventures of Kathlyn, leadActor, Kathlyn Williams]
  • A. Kathlyn Williams chosen
    Kathlyn Williams was a pioneering American silent film actress best known for her work in early adventure serials and melodramas.
  • B. Myrna Adele Williams
    Myrna Adele Williams, better known as Myrna Loy, was a celebrated American film actress renowned for her sophisticated wit and iconic role as Nora Charles in "The Thin Man" series.
  • C. Cynthia Reed
    Cynthia Reed was the wife of renowned Australian modernist painter Sidney Nolan.
  • D. Sharon Reed
    Sharon Reed is a visual effects industry professional best known as one of the founders of the renowned VFX and creative studio Framestore.
  • E. Lela Rogers
    Lela Rogers was an American journalist, screenwriter, and acting coach best known as the mother and early career mentor of Hollywood star Ginger Rogers.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcdcd3c81908ad29145db241408 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f70928c8190a872ecb47b8da2c7 completed May 3, 2026, 5:01 p.m.
Created at: April 8, 2026, 9:56 p.m.