Triple

T1156556
Position Surface form Disambiguated ID Type / Status
Subject Nottinghamshire E23795 entity
Predicate contains P35 FINISHED
Object Arnold
Arnold is a market town and suburb in the county of Nottinghamshire, England, situated to the northeast of Nottingham.
E132110 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: Arnold | Statement: [Nottinghamshire, contains, Arnold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arnold
Context triple: [Nottinghamshire, contains, Arnold]
  • A. Arnold
    Arnold is a common English and German surname borne by numerous notable individuals across fields such as science, politics, sports, and the arts.
  • B. Alan
    Alan is a masculine given name of Celtic origin that has been widely used in English-speaking countries.
  • C. Kenneth
    Kenneth is the formal given name of American country music singer, songwriter, and actor Kenny Rogers.
  • D. Arnold Vinnius
    Arnold Vinnius was a prominent 17th-century Dutch jurist and legal scholar whose influential commentaries helped shape the development and teaching of Roman-Dutch law.
  • E. Bullet Rogan
    Bullet Rogan was a legendary two-way star of Negro league baseball, renowned as both a dominant pitcher and powerful hitter in the early 20th century.
  • 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: Arnold
Triple: [Nottinghamshire, contains, Arnold]
Generated description
Arnold is a market town and suburb in the county of Nottinghamshire, England, situated to the northeast of Nottingham.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arnold
Target entity description: Arnold is a market town and suburb in the county of Nottinghamshire, England, situated to the northeast of Nottingham.
  • A. Arnold
    Arnold is a common English and German surname borne by numerous notable individuals across fields such as science, politics, sports, and the arts.
  • B. Alan
    Alan is a masculine given name of Celtic origin that has been widely used in English-speaking countries.
  • C. Kenneth
    Kenneth is the formal given name of American country music singer, songwriter, and actor Kenny Rogers.
  • D. Arnold Vinnius
    Arnold Vinnius was a prominent 17th-century Dutch jurist and legal scholar whose influential commentaries helped shape the development and teaching of Roman-Dutch law.
  • E. Bullet Rogan
    Bullet Rogan was a legendary two-way star of Negro league baseball, renowned as both a dominant pitcher and powerful hitter in the early 20th century.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc92ae008190a587c12ecc9a502a completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5eba03f081908c8bf99e6369080a completed March 7, 2026, 5:22 p.m.
NEDg Description generation batch_69ac5f4756b08190b3dbaf64a9351836 completed March 7, 2026, 5:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac600f78148190bd3109276f7b9e3a completed March 7, 2026, 5:27 p.m.
Created at: March 1, 2026, 7:44 p.m.