Triple

T18548689
Position Surface form Disambiguated ID Type / Status
Subject Mark Cuban E453307 entity
Predicate spouse P13 FINISHED
Object Tiffany Stewart NE NERFINISHED

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: Tiffany Stewart | Statement: [Mark Cuban, spouse, Tiffany Stewart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiffany Stewart
Context triple: [Mark Cuban, spouse, Tiffany Stewart]
  • A. Tiffany Stewart chosen
    Tiffany Stewart is an American advertising executive and philanthropist best known as the wife of billionaire entrepreneur and Dallas Mavericks owner Mark Cuban.
  • B. Tiffany Mitchell
    Tiffany Mitchell is a fictional character from the British soap opera "EastEnders," known for her dramatic storylines and tragic death in the late 1990s.
  • C. Tiffany Wilson
    Tiffany Wilson is one of the wealthy socialite sisters whose identities are impersonated by undercover FBI agents in the comedy film "White Chicks."
  • D. Tiffany Maxwell
    Tiffany Maxwell is a troubled yet resilient young widow who forms an unconventional bond with Pat Solitano in the romantic dramedy film "Silver Linings Playbook."
  • E. Tiffany Thompson
    Tiffany Thompson is the daughter of John Thompson.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534be2298819095f637065fc2724e completed April 19, 2026, 8:02 p.m.
Created at: April 10, 2026, 11:38 a.m.