Triple

T1752382
Position Surface form Disambiguated ID Type / Status
Subject Maria Shriver E38472 entity
Predicate familyName P18 FINISHED
Object Shriver E93348 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: Shriver | Statement: [Maria Shriver, familyName, Shriver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shriver
Context triple: [Maria Shriver, familyName, Shriver]
  • A. Shriver chosen
    Shriver is a prominent American family name associated with notable figures in politics, public service, and media.
  • B. Corwin
    Corwin is a surname most notably associated with Jonathan Corwin, a judge involved in the Salem witch trials in 17th-century Massachusetts.
  • C. Eldridge
    Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
  • D. Keyserling
    Keyserling is a surname most notably associated with Leon H. Keyserling, an influential American economist and former chairman of the U.S. Council of Economic Advisers.
  • E. Rutledge
    Rutledge is a small town in eastern Tennessee that serves as the county seat of Grainger County within the Knoxville metropolitan area.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa641432d88190ab4254cb4c3ad402 completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0e625c48190a0fbda31010bdc5f completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:31 p.m.