Triple

T6132773
Position Surface form Disambiguated ID Type / Status
Subject Strong E136757 entity
Predicate hasVariant P455 FINISHED
Object Stronge
Stronge is a less common spelling variant of the surname "Strong," typically of English origin.
 E136757 NE FINISHED

How this triple was built (4 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: Stronge | Statement: [Strong, hasVariant, Stronge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stronge
Context triple: [Strong, hasVariant, Stronge]
  • A. Strong
    Strong is a surname of English origin borne by various notable individuals across fields such as politics, academia, and the arts.
  • B. Strong Unit
    Strong Unit is a protected management area within the Detroit River International Wildlife Refuge that conserves important coastal and wetland habitats for wildlife along the Detroit River.
  • C. 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.
  • D. 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.
  • E. Stange
    Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Stronge
Triple: [Strong, hasVariant, Stronge]
Generated description
Stronge is a less common spelling variant of the surname "Strong," typically of English origin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stronge
Target entity description: Stronge is a less common spelling variant of the surname "Strong," typically of English origin.
  • 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 Unit
    Strong Unit is a protected management area within the Detroit River International Wildlife Refuge that conserves important coastal and wetland habitats for wildlife along the Detroit River.
  • C. 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.
  • D. 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.
  • E. Stange
    Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
  • F. None of above.

Provenance (5 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c509848819089a2b2b58744bc25 completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135d75a588190a565026498bcce57 completed March 23, 2026, 12:45 p.m.
NEDg Description generation batch_69c137fb40e881909bdbd776c55a1f51 completed March 23, 2026, 12:54 p.m.
NED2 Entity disambiguation (via description) batch_69c1387a38788190b8cf2b04e5eeb5e3 completed March 23, 2026, 12:56 p.m.
Created at: March 22, 2026, 4:15 p.m.