Triple

T21063806
Position Surface form Disambiguated ID Type / Status
Subject Stewart Udall E518915 entity
Predicate givenName P17 FINISHED
Object 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: Stewart | Statement: [Stewart Udall, givenName, Stewart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stewart
Context triple: [Stewart Udall, givenName, 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. Jason Stewart
    Jason Stewart is a film editor known for his work on the comedy-drama movie "World's Greatest Dad."
  • 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_69e0b505ef108190b25dd4033e2ff7eb completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6feb29e388190a80fa969a4daa606 completed April 21, 2026, 4:36 a.m.
Created at: April 16, 2026, 2:42 p.m.