Triple

T20253921
Position Surface form Disambiguated ID Type / Status
Subject Betty Heslop E498632 entity
Predicate familyName P18 FINISHED
Object Heslop
Heslop is an English-language surname borne by various notable individuals across fields such as sports, politics, and the arts.
E1420789 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: Heslop | Statement: [Betty Heslop, familyName, Heslop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heslop
Context triple: [Betty Heslop, familyName, Heslop]
  • A. Heseltine
    Heseltine is a surname most prominently associated with Michael Heseltine, a senior British Conservative politician and former Deputy Prime Minister.
  • B. Hesel
    Hesel is a small municipality in the district of Leer in Lower Saxony, northwestern Germany.
  • C. 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.
  • D. Hindmarch
    Hindmarch is an English surname most notably associated with British fashion designer Anya Hindmarch.
  • E. Malpas
    Malpas is a historic rural village and civil parish in the south of Cheshire, England, known for its medieval church and traditional market-town character.
  • 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: Heslop
Triple: [Betty Heslop, familyName, Heslop]
Generated description
Heslop is an English-language surname borne by various notable individuals across fields such as sports, politics, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Heslop
Target entity description: Heslop is an English-language surname borne by various notable individuals across fields such as sports, politics, and the arts.
  • A. Heseltine
    Heseltine is a surname most prominently associated with Michael Heseltine, a senior British Conservative politician and former Deputy Prime Minister.
  • B. Hesel
    Hesel is a small municipality in the district of Leer in Lower Saxony, northwestern Germany.
  • C. 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.
  • D. Hindmarch
    Hindmarch is an English surname most notably associated with British fashion designer Anya Hindmarch.
  • E. Malpas
    Malpas is a historic rural village and civil parish in the south of Cheshire, England, known for its medieval church and traditional market-town character.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673aa42348190852ae8313f4494ca completed April 20, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0855282a0c8190b6f246521dfbda51 completed May 16, 2026, 11:29 a.m.
NEDg Description generation batch_6a0855c6bab08190831cc78647de84fc completed May 16, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0856da3e748190866c328a6c61b3d8 completed May 16, 2026, 11:36 a.m.
Created at: April 11, 2026, 11:41 p.m.