Triple

T5150189
Position Surface form Disambiguated ID Type / Status
Subject Strong Vincent E116173 entity
Predicate givenName P17 FINISHED
Object Strong E136757 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: Strong | Statement: [Strong Vincent, givenName, Strong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strong
Context triple: [Strong Vincent, givenName, Strong]
  • A. Strong chosen
    Strong is a surname of English origin borne by various notable individuals across fields such as politics, academia, and the arts.
  • B. Strong Motion
    Strong Motion is a 1992 novel by Jonathan Franzen that explores environmental disaster, family dysfunction, and corporate malfeasance through a darkly comic, realist narrative.
  • C. Intense
    Intense is a studio album by Dutch trance DJ and producer Armin van Buuren that blends uplifting trance with elements of pop and electro.
  • D. High Force
    High Force is a famous and powerful waterfall on the River Tees in northern England, renowned for its dramatic drop through the Pennine landscape.
  • E. Most
    Most is an industrial city in the Ústí nad Labem Region of the Czech Republic, historically known for coal mining and extensive postwar urban redevelopment.
  • 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd78d7f4d081908d59adcd86f52f1d completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed004538c81908fac258ea99f7e63 completed March 21, 2026, 5:06 p.m.
Created at: March 20, 2026, 1:43 p.m.