Triple

T22965538
Position Surface form Disambiguated ID Type / Status
Subject Penny Chenery E571032 entity
Predicate ownedRacehorse P137600 FINISHED
Object Riva Ridge NE NERFINISHED

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: Riva Ridge | Statement: [Penny Chenery, ownedRacehorse, Riva Ridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riva Ridge
Context triple: [Penny Chenery, ownedRacehorse, Riva Ridge]
  • A. Riva Ridge chosen
    Riva Ridge was a champion American Thoroughbred racehorse best known for winning the 1972 Kentucky Derby and Belmont Stakes.
  • B. Vails Gate
    Vails Gate is a small hamlet in New York State known primarily as a residential community within a larger town jurisdiction.
  • C. Palisade
    Palisade is a small town in western Colorado known for its peach orchards, wineries, and scenic location along the Colorado River near Grand Junction.
  • D. Hillside
    Hillside is a small village in the Angus council area of eastern Scotland, known for its rural setting near the town of Montrose.
  • E. Hillside
    Hillside is the former Concord, Massachusetts home of author Nathaniel Hawthorne, now a historic site known as The Wayside.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1822e542c8190a865f18e64fc0768 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:47 p.m.