Triple

T7219855
Position Surface form Disambiguated ID Type / Status
Subject Ladas E150228 entity
Predicate sire P25213 FINISHED
Object Hampton
Hampton was a prominent 19th-century British Thoroughbred racehorse and influential sire known for producing several classic-winning offspring.
 E653787 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: Hampton | Statement: [Ladas, sire, Hampton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hampton
Context triple: [Ladas, sire, Hampton]
  • A. Hampton
    Hampton is a suburban town in the London Borough of Richmond upon Thames, England, situated on the north bank of the River Thames.
  • B. Hampton
    Hampton is an independent coastal city in southeastern Virginia known for its historic role in early American settlement and its location at the entrance to the Chesapeake Bay.
  • C. Hampton
    Hampton is a residential suburb and developing township located within the city of Peterborough in Cambridgeshire, England.
  • D. Hampton
    Hampton is a surname of English origin borne by various notable individuals, including those in the arts and public life.
  • E. Hampton
    Hampton is a suburban railway station in Melbourne, Australia, serving the bayside suburb of Hampton on the city’s Sandringham line.
  • 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: Hampton
Triple: [Ladas, sire, Hampton]
Generated description
Hampton was a prominent 19th-century British Thoroughbred racehorse and influential sire known for producing several classic-winning offspring.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hampton
Target entity description: Hampton was a prominent 19th-century British Thoroughbred racehorse and influential sire known for producing several classic-winning offspring.
  • A. Hampton
    Hampton is a surname of English origin borne by various notable individuals, including those in the arts and public life.
  • B. Hampton
    Hampton is a historic coastal town in southeastern New Hampshire, known as one of the colony’s earliest settlements and now a popular beach community.
  • C. Hampton
    Hampton is a suburban town in the London Borough of Richmond upon Thames, England, situated on the north bank of the River Thames.
  • D. Hampton
    Hampton is an independent coastal city in southeastern Virginia known for its historic role in early American settlement and its location at the entrance to the Chesapeake Bay.
  • E. Hampton
    Hampton is a residential suburb and developing township located within the city of Peterborough in Cambridgeshire, England.
  • 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_69c687effb44819092b95d07d0368c9f completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e9b1a7908190bd215ffb84592e32 completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db092ed481908f478860418eb0bd completed March 28, 2026, 1:43 p.m.
NEDg Description generation batch_69c7dbf65fb08190ae8a9c4e57d42e97 completed March 28, 2026, 1:47 p.m.
NED2 Entity disambiguation (via description) batch_69c7dc6873a081908ea4e953430ec20b completed March 28, 2026, 1:49 p.m.
Created at: March 27, 2026, 2:53 p.m.