Triple

T12721701
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Stewart of Bonkyll E304001 entity
Predicate familyName P18 FINISHED
Object Stewart E132642 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: Stewart | Statement: [Elizabeth Stewart of Bonkyll, familyName, Stewart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stewart
Context triple: [Elizabeth Stewart of Bonkyll, familyName, Stewart]
  • A. Stewart chosen
    Stewart is a common Scottish-origin surname borne by numerous notable figures across politics, law, the arts, and entertainment.
  • B. Stewart-Murray
    Stewart-Murray is a Scottish noble family name associated with the Dukes of Atholl and the broader Clan Murray lineage.
  • C. Daniel Stewart
    Daniel Stewart was an American Revolutionary War officer and early Georgia politician and militia leader for whom Stewart County, Georgia, is named.
  • D. Daniel Stewart
    Daniel Stewart is a British actor known for his work in television and theatre and as the son of renowned actor Sir Patrick Stewart.
  • E. Alex Stewart
    Alex Stewart is a central character in Cecelia Ahern’s romantic novel and its film adaptation, whose lifelong friendship and complicated love story with Rosie Dunne drive the narrative.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964133fe481909a44b8159ab8997b completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c841edc81909147d30c51471c47 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:24 p.m.