Triple

T15320352
Position Surface form Disambiguated ID Type / Status
Subject Isabel Colegate E366270 entity
Predicate familyName P18 FINISHED
Object Colegate
Colegate is an English surname most notably associated with the novelist Isabel Colegate.
E1150470 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: Colegate | Statement: [Isabel Colegate, familyName, Colegate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colegate
Context triple: [Isabel Colegate, familyName, Colegate]
  • A. College Hall
    College Hall is the main dining hall of Corpus Christi College, University of Cambridge, where students and fellows gather for formal and informal meals.
  • B. Berrick Hall
    Berrick Hall is a historic Western-style residence in Yokohama’s Yamate district, known for its early 20th-century architecture and role in the city’s foreign settlement history.
  • C. Heythrop
    Heythrop is a small rural village in West Oxfordshire, England, known for its historic country estate and tranquil countryside setting.
  • D. Harkness Hall
    Harkness Hall is an academic building located on the University of Rochester’s River Campus, housing classrooms and faculty offices.
  • E. Vanbrugh College
    Vanbrugh College is one of the constituent residential and academic colleges of the University of York, known for its central campus location and active student community.
  • 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: Colegate
Triple: [Isabel Colegate, familyName, Colegate]
Generated description
Colegate is an English surname most notably associated with the novelist Isabel Colegate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Colegate
Target entity description: Colegate is an English surname most notably associated with the novelist Isabel Colegate.
  • A. College Hall
    College Hall is the main dining hall of Corpus Christi College, University of Cambridge, where students and fellows gather for formal and informal meals.
  • B. Berrick Hall
    Berrick Hall is a historic Western-style residence in Yokohama’s Yamate district, known for its early 20th-century architecture and role in the city’s foreign settlement history.
  • C. Heythrop
    Heythrop is a small rural village in West Oxfordshire, England, known for its historic country estate and tranquil countryside setting.
  • D. Harkness Hall
    Harkness Hall is an academic building located on the University of Rochester’s River Campus, housing classrooms and faculty offices.
  • E. Vanbrugh College
    Vanbrugh College is one of the constituent residential and academic colleges of the University of York, known for its central campus location and active student community.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd460288190b5c41f0a0aeee949 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8a9085881909904152c32b0fed1 completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fefc8251d08190bf8a764f83f89d7e completed May 9, 2026, 9:21 a.m.
NED2 Entity disambiguation (via description) batch_69fefd6c2bf88190b17a03be7b3353e3 completed May 9, 2026, 9:25 a.m.
Created at: April 10, 2026, 3:16 a.m.