Triple

T12496318
Position Surface form Disambiguated ID Type / Status
Subject Sidney Sherman E298694 entity
Predicate givenName P17 FINISHED
Object Sidney E247940 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: Sidney | Statement: [Sidney Sherman, givenName, Sidney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidney
Context triple: [Sidney Sherman, givenName, Sidney]
  • A. Sidney
    Sidney is the given name of Sid Luft, the American show business figure best known as the third husband and manager of entertainer Judy Garland.
  • B. Sidney
    Sidney is the given first name of the American rapper known professionally as Desiigner.
  • C. Sidney
    Sidney is a small coastal town on Vancouver Island in British Columbia, Canada, known for its waterfront, ferry connections, and proximity to Victoria.
  • D. Sidney chosen
    Sidney is a given name shared by various notable individuals across fields such as literature, politics, and entertainment.
  • E. Sidney
    Sidney is an English surname historically associated with the prominent Sidney family, including figures such as Frances Sidney, Countess of Sussex.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94df948308190ace333230a4a3b38 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64baf73188190af29b57f8ae9253f completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.