Triple

T10815710
Position Surface form Disambiguated ID Type / Status
Subject Lefty Grove E255222 entity
Predicate familyName P18 FINISHED
Object Grove E45714 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: Grove | Statement: [Lefty Grove, familyName, Grove]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grove
Context triple: [Lefty Grove, familyName, Grove]
  • A. Grove
    Grove is an unincorporated community in James City County, Virginia, known for its residential areas and proximity to historic Williamsburg and the James River.
  • B. Grove chosen
    Grove is a surname most prominently associated with Andrew S. Grove, the influential engineer and former CEO of Intel who helped shape the modern semiconductor industry.
  • C. Grove
    Grove is a large village and civil parish in Oxfordshire, England, situated near Wantage and known for its residential communities and local amenities.
  • D. The Grove
    The Grove is a popular open-air shopping, dining, and entertainment complex in Los Angeles known for its upscale retailers and lively atmosphere.
  • E. The Grove
    The Grove was the original name of Lakefield College School, an independent boarding and day school in Lakefield, Ontario, Canada.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733edab248190b2cf7f7bc2684468 completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb0f9e3a081908163b398d845deeb completed April 14, 2026, 9:26 p.m.
Created at: April 8, 2026, 9:18 p.m.