Triple

T4533234
Position Surface form Disambiguated ID Type / Status
Subject Michael Heseltine E106346 entity
Predicate familyName P18 FINISHED
Object Heseltine
Heseltine is a surname most prominently associated with Michael Heseltine, a senior British Conservative politician and former Deputy Prime Minister.
 E450841 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: Heseltine | Statement: [Michael Heseltine, familyName, Heseltine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Heseltine
Context triple: [Michael Heseltine, familyName, Heseltine]
  • A. Tattersett
    Tattersett is a small village and civil parish in Norfolk, England, situated in a rural area of the county.
  • B. Hensleigh
    Hensleigh is a masculine given name of English origin, notably borne by the 19th-century philologist and etymologist Hensleigh Wedgwood.
  • C. Yates
    Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
  • D. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • E. Hartley
    Hartley is a small census-designated community located in Solano County, California.
  • 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: Heseltine
Triple: [Michael Heseltine, familyName, Heseltine]
Generated description
Heseltine is a surname most prominently associated with Michael Heseltine, a senior British Conservative politician and former Deputy Prime Minister.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Heseltine
Target entity description: Heseltine is a surname most prominently associated with Michael Heseltine, a senior British Conservative politician and former Deputy Prime Minister.
  • A. Tattersett
    Tattersett is a small village and civil parish in Norfolk, England, situated in a rural area of the county.
  • B. Hensleigh
    Hensleigh is a masculine given name of English origin, notably borne by the 19th-century philologist and etymologist Hensleigh Wedgwood.
  • C. Yates
    Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
  • D. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • E. Hartley
    Hartley is a small census-designated community located in Solano County, California.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57a08ec4819091b84d53d7b564a7 completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacea41bc8190b49c9d1a31d7930f completed March 20, 2026, 8:24 p.m.
NEDg Description generation batch_69bdb220bc6481908955c5c953bbfb97 completed March 20, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_69bdb2871e3481908d143c52d9e7141f completed March 20, 2026, 8:48 p.m.
Created at: March 20, 2026, 1:04 p.m.