Triple

T16892704
Position Surface form Disambiguated ID Type / Status
Subject Roderick David Stewart E424213 entity
Predicate spouse P13 FINISHED
Object Alana 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: Alana Stewart | Statement: [Roderick David Stewart, spouse, Alana Stewart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alana Stewart
Context triple: [Roderick David Stewart, spouse, Alana Stewart]
  • A. Alana Stewart chosen
    Alana Stewart is an American actress, former model, and television personality known for her work in film and TV as well as her high-profile marriages and advocacy, including cancer-related causes.
  • B. Natalie Stewart
    Natalie Stewart is a British singer, songwriter, and poet best known as one half of the R&B/neo-soul duo Floetry.
  • C. Alana Shepherd
    Alana Shepherd is an American philanthropist and co-founder of the Shepherd Center, a renowned rehabilitation hospital specializing in spinal cord and brain injury care.
  • D. Alana Boyd
    Alana Boyd is an Australian pole vaulter who has represented Australia at multiple Olympic Games and won Commonwealth Games gold medals.
  • E. Alanna Ubach
    Alanna Ubach is an American actress and voice actress known for her versatile character roles in film, television, and animation, including work in projects like "Legally Blonde," "Euphoria," and various animated features.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc6b97c8190b18aca477d6ef647 completed April 18, 2026, 5:13 p.m.
Created at: April 10, 2026, 5:29 a.m.