Triple

T20681693
Position Surface form Disambiguated ID Type / Status
Subject Michael Innes E508306 entity
Predicate notableWork P4 FINISHED
Object Appleby’s End
Appleby’s End is a classic British detective novel by Michael Innes featuring his recurring sleuth Inspector Appleby in an intricately plotted, witty mystery.
E1444125 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: Appleby’s End | Statement: [Michael Innes, notableWork, Appleby’s End]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Appleby’s End
Context triple: [Michael Innes, notableWork, Appleby’s End]
  • A. Appleby
    Appleby is a surname of English origin borne by various notable individuals, including American actress Shiri Appleby.
  • B. Goodyers End
    Goodyers End is a residential area and suburb within the town of Bedworth in Warwickshire, England.
  • C. Appleby Magna
    Appleby Magna is a historic rural village in Leicestershire, England, known for its traditional architecture and picturesque countryside setting.
  • D. Whitlocks End
    Whitlocks End is a suburban village and railway station area on the outskirts of Birmingham, England, forming a terminus for some commuter services on the Snow Hill Lines.
  • E. Sands End
    Sands End is a riverside residential district in southwest London known for its mix of regenerated industrial sites, modern developments, and traditional terraced housing.
  • 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: Appleby’s End
Triple: [Michael Innes, notableWork, Appleby’s End]
Generated description
Appleby’s End is a classic British detective novel by Michael Innes featuring his recurring sleuth Inspector Appleby in an intricately plotted, witty mystery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Appleby’s End
Target entity description: Appleby’s End is a classic British detective novel by Michael Innes featuring his recurring sleuth Inspector Appleby in an intricately plotted, witty mystery.
  • A. Appleby
    Appleby is a surname of English origin borne by various notable individuals, including American actress Shiri Appleby.
  • B. Goodyers End
    Goodyers End is a residential area and suburb within the town of Bedworth in Warwickshire, England.
  • C. Appleby Magna
    Appleby Magna is a historic rural village in Leicestershire, England, known for its traditional architecture and picturesque countryside setting.
  • D. Whitlocks End
    Whitlocks End is a suburban village and railway station area on the outskirts of Birmingham, England, forming a terminus for some commuter services on the Snow Hill Lines.
  • E. Sands End
    Sands End is a riverside residential district in southwest London known for its mix of regenerated industrial sites, modern developments, and traditional terraced housing.
  • 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6bea842dc81908106a0c29d1577aa completed April 21, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08cd6f0ca88190972ddf687eabcf4d completed May 16, 2026, 8:02 p.m.
NEDg Description generation batch_6a08d176c3408190ab1d630fd8da2fc2 completed May 16, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a08d206e6a081909f76b190c8dbc55d completed May 16, 2026, 8:22 p.m.
Created at: April 16, 2026, 11:45 a.m.