Triple

T10657956
Position Surface form Disambiguated ID Type / Status
Subject Vin Scully E251143 entity
Predicate spouse P13 FINISHED
Object Joanne Scully E251143 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: Joanne Scully | Statement: [Vin Scully, spouse, Joanne Scully]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joanne Scully
Context triple: [Vin Scully, spouse, Joanne Scully]
  • A. Joanne Scully chosen
    Joanne Scully was the longtime wife of legendary baseball broadcaster Vin Scully and a central figure in his personal life.
  • B. Cathleen Neilson
    Cathleen Neilson was an American socialite known for her marriage into the wealthy Vanderbilt family through Reginald Claypoole Vanderbilt.
  • C. Patricia Sweeney
    Patricia Sweeney is known as the wife of English actor and screenwriter Colin Welland.
  • D. Deidre O’Neill
    Deidre O’Neill is a character in Paulo Coelho’s novel "The Witch of Portobello," involved in the spiritual and mystical journey of the protagonist.
  • E. Catherine McCarthy
    Catherine McCarthy is an author and performance consultant best known for coauthoring the workplace and productivity book "The Way We’re Working Isn’t Working."
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6e01643a88190abc7c16fd0f85e53 completed April 8, 2026, 11:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c7b89a808190af9b2d4f37ad9012 completed April 18, 2026, 6:04 p.m.
Created at: April 8, 2026, 9:07 p.m.