Triple

T3012160
Position Surface form Disambiguated ID Type / Status
Subject Cranford E82247 entity
Predicate near P350 FINISHED
Object Heston
Heston is a suburban area in the London Borough of Hounslow, England, known for its residential character and proximity to Heathrow Airport.
 E317674 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: Heston | Statement: [Cranford, near, Heston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Heston
Context triple: [Cranford, near, Heston]
  • A. Hunte
    The Hunte is a river in northwestern Germany that flows through Lower Saxony before joining the Weser.
  • B. Orson
    Orson is a masculine given name most famously associated with the American filmmaker and actor Orson Welles.
  • C. Hawkes
    Hawkes is the surname of Sylvia Ashley, a British model, actress, and socialite known for her high-profile marriages in the early 20th century.
  • D. Fisher
    Fisher is a common English surname borne by numerous notable individuals across fields such as economics, politics, entertainment, and sports.
  • E. Parker
    Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
  • 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: Heston
Triple: [Cranford, near, Heston]
Generated description
Heston is a suburban area in the London Borough of Hounslow, England, known for its residential character and proximity to Heathrow Airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Heston
Target entity description: Heston is a suburban area in the London Borough of Hounslow, England, known for its residential character and proximity to Heathrow Airport.
  • A. Hunte
    The Hunte is a river in northwestern Germany that flows through Lower Saxony before joining the Weser.
  • B. Orson
    Orson is a masculine given name most famously associated with the American filmmaker and actor Orson Welles.
  • C. Hawkes
    Hawkes is the surname of Sylvia Ashley, a British model, actress, and socialite known for her high-profile marriages in the early 20th century.
  • D. Fisher
    Fisher is a common English surname borne by numerous notable individuals across fields such as economics, politics, entertainment, and sports.
  • E. Parker
    Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
  • 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_69ad8b1eb53481908c39bbcd1ec104b2 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a66c334819082d1d320c48eca1b completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e6410e481909753bef34e053363 completed March 11, 2026, 8:57 a.m.
NEDg Description generation batch_69b12f324fdc8190a279a773ef32ed01 completed March 11, 2026, 9 a.m.
NED2 Entity disambiguation (via description) batch_69b1c641f3308190912252e5d5e4f843 completed March 11, 2026, 7:45 p.m.
Created at: March 8, 2026, 3 p.m.