Triple

T16424112
Position Surface form Disambiguated ID Type / Status
Subject Victoria Waterfield E398893 entity
Predicate hasFamilyName P18 FINISHED
Object Waterfield E1143011 NE FINISHED

How this triple was built (2 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: Waterfield | Statement: [Victoria Waterfield, hasFamilyName, Waterfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterfield
Context triple: [Victoria Waterfield, hasFamilyName, Waterfield]
  • A. Farlington
    Farlington is a small rural village in North Yorkshire, England, situated near the River Foss and known for its historic parish church and agricultural surroundings.
  • B. Farlington
    Farlington is a residential suburb in the northern part of Portsmouth, England, known for its coastal location and access to major transport routes.
  • C. Wokefield
    Wokefield is a rural civil parish in Berkshire, England, known for its countryside landscape and the historic Wokefield Park estate.
  • D. Canfield chosen
    Canfield is a surname of English origin borne by various notable individuals across fields such as sports, literature, and academia.
  • E. Homersfield
    Homersfield is a small village and civil parish on the River Waveney in eastern England, known for its historic bridge and rural Suffolk setting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328f9da9081908dadbdac4b2d38ec completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c70aaa08190bf88210c0b491fc1 completed May 10, 2026, 8:06 a.m.
Created at: April 10, 2026, 5:09 a.m.