Triple

T10639047
Position Surface form Disambiguated ID Type / Status
Subject Magdalen Haliburton E250670 entity
Predicate familyName P18 FINISHED
Object Haliburton
Haliburton is a surname of English and Scottish origin associated with various notable historical and literary figures.
 E876493 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: Haliburton | Statement: [Magdalen Haliburton, familyName, Haliburton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haliburton
Context triple: [Magdalen Haliburton, familyName, Haliburton]
  • A. Howden
    Howden is a historic market town in the East Riding of Yorkshire, England, known for its medieval Minster and traditional town centre.
  • B. Howden
    Howden is a residential neighbourhood within the town of Livingston in West Lothian, Scotland.
  • C. Shadbolt
    Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
  • D. Lockweiler
    Lockweiler is a village-level district within the town of Wadern in the Saarland region of Germany.
  • E. Poulson
    Poulson is the codename for a later-generation Intel Itanium processor microarchitecture designed to improve performance and efficiency in enterprise and mission-critical servers.
  • 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: Haliburton
Triple: [Magdalen Haliburton, familyName, Haliburton]
Generated description
Haliburton is a surname of English and Scottish origin associated with various notable historical and literary figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haliburton
Target entity description: Haliburton is a surname of English and Scottish origin associated with various notable historical and literary figures.
  • A. Howden
    Howden is a historic market town in the East Riding of Yorkshire, England, known for its medieval Minster and traditional town centre.
  • B. Howden
    Howden is a residential neighbourhood within the town of Livingston in West Lothian, Scotland.
  • C. Shadbolt
    Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
  • D. Lockweiler
    Lockweiler is a village-level district within the town of Wadern in the Saarland region of Germany.
  • E. Poulson
    Poulson is the codename for a later-generation Intel Itanium processor microarchitecture designed to improve performance and efficiency in enterprise and mission-critical servers.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfaf12188190a5774d4d64674653 completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bcd8c0c8190a0fad6a85b5604bb completed April 10, 2026, 9:29 p.m.
NEDg Description generation batch_69d9701de92881908c0b8f05eae97e35 completed April 10, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_69d970f3f78081909bcb2dae6dae06d5 completed April 10, 2026, 9:51 p.m.
Created at: April 8, 2026, 9:04 p.m.