Triple

T15335121
Position Surface form Disambiguated ID Type / Status
Subject Sidney B. Kramer E366643 entity
Predicate hasGivenName 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 B. Kramer, hasGivenName, Sidney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidney
Context triple: [Sidney B. Kramer, hasGivenName, Sidney]
  • A. Sidney
    Sidney is the given name of Sidney Godolphin, 1st Earl of Godolphin, a prominent English statesman and Lord High Treasurer under Queen Anne.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e03c5f081908e4d14dbdbc7f7a6 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ee7480819080133a9910a2bf52 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.