Triple

T13207066
Position Surface form Disambiguated ID Type / Status
Subject John Houstoun E314391 entity
Predicate familyName P18 FINISHED
Object Houstoun
Houstoun is a surname of Scottish origin associated with various notable individuals in politics, law, and public life.
 E1027390 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: Houstoun | Statement: [John Houstoun, familyName, Houstoun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Houstoun
Context triple: [John Houstoun, familyName, Houstoun]
  • A. Tim Houston
    Tim Houston is a Canadian politician who serves as the 30th premier of Nova Scotia and leader of the Progressive Conservative Party of Nova Scotia.
  • B. Lamar
    Lamar is a surname most notably associated with Mirabeau B. Lamar, the second president of the Republic of Texas.
  • C. Lamar
    Lamar is a small city in southeastern Colorado that serves as an agricultural and transportation hub for the surrounding rural region.
  • D. Lamar
    Lamar is a masculine given name of Old French and Old German origin, commonly used in the United States.
  • E. John McAllen
    John McAllen was a 19th-century rancher, merchant, and land developer whose influence in the Rio Grande Valley led to the South Texas city of McAllen being named in his honor.
  • 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: Houstoun
Triple: [John Houstoun, familyName, Houstoun]
Generated description
Houstoun is a surname of Scottish origin associated with various notable individuals in politics, law, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Houstoun
Target entity description: Houstoun is a surname of Scottish origin associated with various notable individuals in politics, law, and public life.
  • A. Tim Houston
    Tim Houston is a Canadian politician who serves as the 30th premier of Nova Scotia and leader of the Progressive Conservative Party of Nova Scotia.
  • B. Lamar
    Lamar is a surname most notably associated with Mirabeau B. Lamar, the second president of the Republic of Texas.
  • C. Lamar
    Lamar is a small city in southeastern Colorado that serves as an agricultural and transportation hub for the surrounding rural region.
  • D. Lamar
    Lamar is a masculine given name of Old French and Old German origin, commonly used in the United States.
  • E. John McAllen
    John McAllen was a 19th-century rancher, merchant, and land developer whose influence in the Rio Grande Valley led to the South Texas city of McAllen being named in his honor.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9cb7ac819095cff8699993c419 completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f611b11c8190b9f89313eb2b5fab completed May 3, 2026, 7:15 a.m.
NEDg Description generation batch_69f6f79703588190ba088971da54340f completed May 3, 2026, 7:21 a.m.
NED2 Entity disambiguation (via description) batch_69f6f89072a88190b3182f581b1b6762 completed May 3, 2026, 7:26 a.m.
Created at: April 9, 2026, 9:17 p.m.