Triple

T3649612
Position Surface form Disambiguated ID Type / Status
Subject Margaret Stewart E77386 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: [Margaret Stewart, familyName, Stewart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stewart
Context triple: [Margaret Stewart, 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. Daniel Stewart
    Daniel Stewart was an American Revolutionary War officer and early Georgia politician and militia leader for whom Stewart County, Georgia, is named.
  • C. Stewart Gilligan Griffin
    Stewart Gilligan "Stewie" Griffin is a fictional infant prodigy and the diabolically intelligent youngest member of the Griffin family on the animated television series Family Guy.
  • D. Stuart
    Stuart is the royal dynasty that ruled Scotland and later England and Ireland, most famously associated with monarchs such as James I and Charles I.
  • E. Stuart
    Stuart is a masculine given name of Scottish origin, traditionally derived from the occupational surname "Stewart" meaning a household guardian or steward.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc38fa1988190b630329700afc3dd completed March 8, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f4002948190af41072962006f51 completed March 13, 2026, 5:54 p.m.
Created at: March 8, 2026, 3:24 p.m.