Triple

T10527321
Position Surface form Disambiguated ID Type / Status
Subject Cody Williams E248339 entity
Predicate parent P120 FINISHED
Object Marsha Garces E264601 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: Marsha Garces | Statement: [Cody Williams, parent, Marsha Garces]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marsha Garces
Context triple: [Cody Williams, parent, Marsha Garces]
  • A. Marsha Garces chosen
    Marsha Garces is an American film producer and philanthropist best known for her work on projects like "Mrs. Doubtfire" and for her long marriage to actor and comedian Robin Williams.
  • B. Marjorie Estiano
    Marjorie Estiano is a Brazilian actress and singer acclaimed for her powerful television performances and international recognition.
  • C. Sylvia Garcia
    Sylvia Garcia is a Democratic U.S. Representative from Texas known for her advocacy on immigration, social justice, and economic equality issues.
  • D. Susan Barrantes
    Susan Barrantes was an English socialite and film producer best known as the mother of Sarah, Duchess of York, and maternal grandmother of Princesses Beatrice and Eugenie.
  • E. Trudy Chacón
    Trudy Chacón is a combat pilot and ally of the Na'vi in James Cameron's film "Avatar," known for defying human corporate interests on Pandora.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f5ec348190875c8c877e70ba4a completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbb6db3f2c81908a7cb28ca8e8ebc9 completed April 12, 2026, 3:14 p.m.
Created at: April 6, 2026, 12:29 p.m.