Triple

T6694815
Position Surface form Disambiguated ID Type / Status
Subject Windland Smith Rice E152721 entity
Predicate givenName P17 FINISHED
Object Windland
Windland is the given name of Windland Smith Rice, an American photographer and philanthropist.
 E612596 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: Windland | Statement: [Windland Smith Rice, givenName, Windland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Windland
Context triple: [Windland Smith Rice, givenName, Windland]
  • A. Sandhaven
    Sandhaven is a small coastal village in the Buchan area of Aberdeenshire, northeast Scotland, historically associated with fishing and maritime activity.
  • B. Saltwell
    Saltwell is a low-power Intel microarchitecture designed primarily for energy-efficient Atom processors used in mobile and embedded devices.
  • C. Windlestone
    Windlestone is a village in County Durham, England, known for its historic country house, Windlestone Hall, and its rural surroundings.
  • D. Guestwick
    Guestwick is a small village in Norfolk, England, known for its rural character and historic parish church.
  • E. Headlands
    Headlands is a small town in eastern Zimbabwe known primarily as a farming and mining community along a major regional transport route.
  • 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: Windland
Triple: [Windland Smith Rice, givenName, Windland]
Generated description
Windland is the given name of Windland Smith Rice, an American photographer and philanthropist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Windland
Target entity description: Windland is the given name of Windland Smith Rice, an American photographer and philanthropist.
  • A. Sandhaven
    Sandhaven is a small coastal village in the Buchan area of Aberdeenshire, northeast Scotland, historically associated with fishing and maritime activity.
  • B. Saltwell
    Saltwell is a low-power Intel microarchitecture designed primarily for energy-efficient Atom processors used in mobile and embedded devices.
  • C. Windlestone
    Windlestone is a village in County Durham, England, known for its historic country house, Windlestone Hall, and its rural surroundings.
  • D. Guestwick
    Guestwick is a small village in Norfolk, England, known for its rural character and historic parish church.
  • E. Headlands
    Headlands is a small town in eastern Zimbabwe known primarily as a farming and mining community along a major regional transport route.
  • F. None of above. chosen

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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6b196b300819095a194195ef9bd11 completed March 27, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7bba1008190a0ea11aabdb3f360 completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6f86efd00819099d48fe7cb9640a3 completed March 27, 2026, 9:36 p.m.
NED2 Entity disambiguation (via description) batch_69c6f91ac7788190832a133c4fe046f1 completed March 27, 2026, 9:39 p.m.
Created at: March 27, 2026, 2:05 p.m.