Triple

T9434150
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Hungerford Keate Macie E227458 entity
Predicate hasFamilyName P18 FINISHED
Object Keate
Keate is an English surname historically associated with several notable figures in British public and cultural life.
E799167 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: Keate | Statement: [Elizabeth Hungerford Keate Macie, hasFamilyName, Keate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keate
Context triple: [Elizabeth Hungerford Keate Macie, hasFamilyName, Keate]
  • A. Pitoa
    Pitoa is a town in northern Cameroon known as a local administrative and agricultural center within the country's North Region.
  • B. Tuatapere
    Tuatapere is a small rural town in New Zealand’s Southland region, known as a gateway to the Hump Ridge Track and for its forestry and farming heritage.
  • C. Ruakākā
    Ruakākā is a small coastal town in New Zealand known for its long sandy beach, surf breaks, and proximity to the Marsden Point industrial area.
  • D. Aokautere
    Aokautere is a residential suburb located on the outskirts of Palmerston North in the Manawatū region of New Zealand.
  • E. Maungawhau
    Maungawhau is the Māori name for Mount Eden, a prominent volcanic cone and landmark in Auckland, New Zealand, with deep cultural significance to local Māori.
  • 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: Keate
Triple: [Elizabeth Hungerford Keate Macie, hasFamilyName, Keate]
Generated description
Keate is an English surname historically associated with several notable figures in British public and cultural life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Keate
Target entity description: Keate is an English surname historically associated with several notable figures in British public and cultural life.
  • A. Pitoa
    Pitoa is a town in northern Cameroon known as a local administrative and agricultural center within the country's North Region.
  • B. Tuatapere
    Tuatapere is a small rural town in New Zealand’s Southland region, known as a gateway to the Hump Ridge Track and for its forestry and farming heritage.
  • C. Ruakākā
    Ruakākā is a small coastal town in New Zealand known for its long sandy beach, surf breaks, and proximity to the Marsden Point industrial area.
  • D. Aokautere
    Aokautere is a residential suburb located on the outskirts of Palmerston North in the Manawatū region of New Zealand.
  • E. Maungawhau
    Maungawhau is the Māori name for Mount Eden, a prominent volcanic cone and landmark in Auckland, New Zealand, with deep cultural significance to local Māori.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7e62d53c81908055e0967e6cd54d completed April 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1104514d481908d7cb9a87a01f1e2 completed April 4, 2026, 1:21 p.m.
NEDg Description generation batch_69d1115ed8c48190af02a8ec38c8e2b9 completed April 4, 2026, 1:25 p.m.
NED2 Entity disambiguation (via description) batch_69d111f3190c8190ba2fe5687212da25 completed April 4, 2026, 1:28 p.m.
Created at: March 30, 2026, 7:49 p.m.