Triple

T20770672
Position Surface form Disambiguated ID Type / Status
Subject Edmund Crispin E511219 entity
Predicate hasPart P35 FINISHED
Object Fen Country
Fen Country is a collection of detective short stories by Edmund Crispin featuring his eccentric Oxford professor-sleuth Gervase Fen.
E1450055 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: Fen Country | Statement: [Edmund Crispin, hasPart, Fen Country]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fen Country
Context triple: [Edmund Crispin, hasPart, Fen Country]
  • A. Downshire
    Downshire is a historic territorial designation in Ireland associated with the noble title of Marquess of Downshire.
  • B. Arfield
    Arfield is the surname of Scott Arfield, a professional footballer known for playing as a midfielder for clubs such as Burnley and Rangers and representing the Canadian national team.
  • C. Thetford Forest
    Thetford Forest is a large coniferous woodland and popular outdoor recreation area in eastern England, known for its walking and cycling trails, wildlife, and forestry.
  • D. Hantshire
    Hantshire is an old historic name formerly used for the English county now known as Hampshire.
  • E. Hambleden Valley
    Hambleden Valley is a picturesque rural valley in the Chiltern Hills of Buckinghamshire, England, known for its rolling countryside, historic villages, and scenic walking routes.
  • 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: Fen Country
Triple: [Edmund Crispin, hasPart, Fen Country]
Generated description
Fen Country is a collection of detective short stories by Edmund Crispin featuring his eccentric Oxford professor-sleuth Gervase Fen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fen Country
Target entity description: Fen Country is a collection of detective short stories by Edmund Crispin featuring his eccentric Oxford professor-sleuth Gervase Fen.
  • A. Downshire
    Downshire is a historic territorial designation in Ireland associated with the noble title of Marquess of Downshire.
  • B. Arfield
    Arfield is the surname of Scott Arfield, a professional footballer known for playing as a midfielder for clubs such as Burnley and Rangers and representing the Canadian national team.
  • C. Thetford Forest
    Thetford Forest is a large coniferous woodland and popular outdoor recreation area in eastern England, known for its walking and cycling trails, wildlife, and forestry.
  • D. Hantshire
    Hantshire is an old historic name formerly used for the English county now known as Hampshire.
  • E. Hambleden Valley
    Hambleden Valley is a picturesque rural valley in the Chiltern Hills of Buckinghamshire, England, known for its rolling countryside, historic villages, and scenic walking routes.
  • 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c266f4b48190891c0db3e322bb23 completed April 21, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08ef91918c81908e99ab3a8ed9a1e5 completed May 16, 2026, 10:28 p.m.
NEDg Description generation batch_6a08f306e51481909691e3735ce10b60 completed May 16, 2026, 10:43 p.m.
NED2 Entity disambiguation (via description) batch_6a08f37adb908190a40a7bb1728f3dbf completed May 16, 2026, 10:45 p.m.
Created at: April 16, 2026, 12:36 p.m.