Triple

T4381371
Position Surface form Disambiguated ID Type / Status
Subject Anne Arundell E99136 entity
Predicate familyName P18 FINISHED
Object Arundell
Arundell is an English noble family name historically associated with prominent aristocratic lineages, particularly in Cornwall and surrounding regions.
 E434675 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: Arundell | Statement: [Anne Arundell, familyName, Arundell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arundell
Context triple: [Anne Arundell, familyName, Arundell]
  • A. Arundells
    Arundells is a historic house and former home of British Prime Minister Sir Edward Heath, located within the Cathedral Close in Salisbury, England.
  • B. Pembroke
    Pembroke is a historic town in southwest Wales best known as the birthplace of King Henry VII of England and for its prominent medieval castle.
  • C. Pembroke
    Pembroke is a small Canadian city in eastern Ontario known for its location along the Ottawa River and its role as a regional service and cultural center.
  • D. Pembroke
    Pembroke is a suburban town in southeastern Massachusetts known for its residential character, ponds, and historic New England charm.
  • E. Arundel
    Arundel is a historic market town in southern England, renowned for its medieval castle and cathedral overlooking the River Arun.
  • 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: Arundell
Triple: [Anne Arundell, familyName, Arundell]
Generated description
Arundell is an English noble family name historically associated with prominent aristocratic lineages, particularly in Cornwall and surrounding regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arundell
Target entity description: Arundell is an English noble family name historically associated with prominent aristocratic lineages, particularly in Cornwall and surrounding regions.
  • A. Arundells
    Arundells is a historic house and former home of British Prime Minister Sir Edward Heath, located within the Cathedral Close in Salisbury, England.
  • B. Pembroke
    Pembroke is a historic town in southwest Wales best known as the birthplace of King Henry VII of England and for its prominent medieval castle.
  • C. Pembroke
    Pembroke is a small Canadian city in eastern Ontario known for its location along the Ottawa River and its role as a regional service and cultural center.
  • D. Pembroke
    Pembroke is a suburban town in southeastern Massachusetts known for its residential character, ponds, and historic New England charm.
  • E. Arundel
    Arundel is a historic market town in southern England, renowned for its medieval castle and cathedral overlooking the River Arun.
  • 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_69b3454ea8f48190a49c2436624d6ef6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352613dd481909e008a8db239a108 completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e51ff9188190aa4581d451feaafd completed March 14, 2026, 10:45 p.m.
NEDg Description generation batch_69b5e5c1cf2c8190b397f249090e7ce6 completed March 14, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_69b5e61acb988190a6f4d7b2bffb2953 completed March 14, 2026, 10:50 p.m.
Created at: March 12, 2026, 11:18 p.m.