Triple

T2479560
Position Surface form Disambiguated ID Type / Status
Subject Porgy and Bess E55180 entity
Predicate settingCity P7747 FINISHED
Object Charleston E13422 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: Charleston | Statement: [Porgy and Bess, settingCity, Charleston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charleston
Context triple: [Porgy and Bess, settingCity, Charleston]
  • A. Charleston
    Charleston is a historic waterfront neighborhood in Bremerton, Washington, known for its residential character and proximity to the Puget Sound naval facilities.
  • B. Charleston
    Charleston was the original name of the city now known as Lorain, Ohio, a Great Lakes industrial community on the shores of Lake Erie.
  • C. Charleston chosen
    Charleston is a historic port city in South Carolina known as a key center of colonial resistance to British rule, including major protests against imperial taxation.
  • D. Charlotte
    Charlotte is a royal figure bearing the traditional title of Princess Royal, historically associated with the eldest daughter of the British monarch.
  • E. Charlotte
    Charlotte is a feminine given name of French and English origin, traditionally used as the female form of Charles and borne by numerous queens, nobles, and notable figures.
  • 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_69ab49e279e88190ab10d7248aea9d11 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd15f95888190a94b5fef7fdf1bcb completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af8383c0988190885a865c3150c64d completed March 10, 2026, 2:35 a.m.
Created at: March 6, 2026, 9:45 p.m.