Triple

T6016217
Position Surface form Disambiguated ID Type / Status
Subject Tootie Smith E133955 entity
Predicate hasSibling P363 FINISHED
Object Agnes Smith E513665 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: Agnes Smith | Statement: [Tootie Smith, hasSibling, Agnes Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agnes Smith
Context triple: [Tootie Smith, hasSibling, Agnes Smith]
  • A. Agnes Smith chosen
    Agnes Smith is the daughter of Mrs. Anna Smith.
  • B. Agnes Moore
    Agnes Moore was the wife of acclaimed British actor Claude Rains, known primarily in relation to his personal life rather than for a prominent public career of her own.
  • C. Agnes Hay
    Agnes Hay was the wife of Australian explorer William Christie Gosse, known primarily through her association with his life and work.
  • D. Agnes Moody Bourn
    Agnes Moody Bourn was a wealthy early 20th-century Californian socialite and philanthropist best known as the original mistress of the grand country estate now known as Filoli.
  • E. Agnes Jervis
    Agnes Jervis was the wife of English philosopher and literary critic George Henry Lewes, known primarily through her connection to his personal life.
  • 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f82dd688190ad8882d8fb547cb5 completed March 22, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1136a4720819092bf2c6a9101c71b completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:06 p.m.