Triple

T3478445
Position Surface form Disambiguated ID Type / Status
Subject Naomi Groves E73431 entity
Predicate familyName P18 FINISHED
Object Groves E73431 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: Groves | Statement: [Naomi Groves, familyName, Groves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Groves
Context triple: [Naomi Groves, familyName, Groves]
  • A. Groves chosen
    Groves is a surname most notably associated with U.S. Army General Leslie R. Groves Jr., who directed the Manhattan Project during World War II.
  • B. Lovell
    Lovell is an English surname most prominently associated with Sir Bernard Lovell, a pioneering radio astronomer and founder of the Jodrell Bank Observatory.
  • C. Livermore
    Livermore is a city in California’s Tri-Valley region known for its wine country, historic downtown, and proximity to major scientific research facilities.
  • D. Southworth
    Southworth is a surname most notably associated with Lucinda Southworth, an American researcher and the wife of Google co-founder Larry Page.
  • E. Garrisonville
    Garrisonville is an unincorporated community and suburban area in Stafford County, Virginia, located along the I-95 corridor south of Washington, D.C.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb5ca73c81908256e3339a3a6f9f completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bbbe7648190bde27a2a048ff18c completed March 13, 2026, 3:59 a.m.
Created at: March 8, 2026, 3:17 p.m.