Triple

T11214730
Position Surface form Disambiguated ID Type / Status
Subject John Rushworth Jellicoe E265406 entity
Predicate middleName P143 FINISHED
Object Rushworth E45132 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: Rushworth | Statement: [John Rushworth Jellicoe, middleName, Rushworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rushworth
Context triple: [John Rushworth Jellicoe, middleName, Rushworth]
  • A. Rushworth
    Rushworth is a small rural town in northern Victoria, Australia, known for its gold rush heritage and historic streetscape.
  • B. Rushworth chosen
    Rushworth is the middle name of Lord Jellicoe, a British naval officer and statesman who served as First Sea Lord during World War I.
  • C. Highworth
    Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
  • D. Ruskington
    Ruskington is a large village and civil parish in Lincolnshire, England, known for its rural character and position near the River Slea.
  • E. Ruxley
    Ruxley is a locality in the London Borough of Bromley, England, known for its mix of suburban development and nearby nature reserves such as the Ruxley Gravel Pits.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8e8eef48190932a85784ce15c86 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad135154819091026334d25cd287 completed April 19, 2026, 10:23 a.m.
Created at: April 8, 2026, 9:30 p.m.