Triple

T10527244
Position Surface form Disambiguated ID Type / Status
Subject Robin Williams E248336 entity
Predicate spouse P13 FINISHED
Object Valerie Velardi E248336 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: Valerie Velardi | Statement: [Robin Williams, spouse, Valerie Velardi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valerie Velardi
Context triple: [Robin Williams, spouse, Valerie Velardi]
  • A. Valerie Velardi chosen
    Valerie Velardi is an American actress and dancer best known as the first wife of comedian and actor Robin Williams.
  • B. Alison Sudol
    Alison Sudol is an American actress and singer-songwriter best known for playing Queenie Goldstein in the Fantastic Beasts film series.
  • C. Catriona Le May Doan
    Catriona Le May Doan is a Canadian speed skater and multiple Olympic gold medalist renowned as one of the sport’s dominant sprinters of the late 1990s and early 2000s.
  • D. Carol Ann Vanek
    Carol Ann Vanek is known as the former spouse of American actor Christopher Lloyd.
  • E. Tasia Valenza
    Tasia Valenza is an American actress and prolific voice artist best known in gaming and animation for roles such as Poison Ivy in the Batman: Arkham series.
  • 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_69d90e31350c8190a7493cdc33cc450a completed April 10, 2026, 2:50 p.m.
Created at: April 6, 2026, 12:29 p.m.