Triple

T23051618
Position Surface form Disambiguated ID Type / Status
Subject Ron Turcotte E574030 entity
Predicate employer P7 FINISHED
Object Meadow Stable 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: Meadow Stable | Statement: [Ron Turcotte, employer, Meadow Stable]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meadow Stable
Context triple: [Ron Turcotte, employer, Meadow Stable]
  • A. Meadow Stable chosen
    Meadow Stable was a prominent American Thoroughbred horse racing operation best known as the breeding and racing farm behind the legendary racehorse Secretariat.
  • B. Paraneck Stable
    Paraneck Stable is a Thoroughbred racehorse ownership and breeding operation known for campaigning top-level horses such as Unbridled's Song.
  • C. Haga Stables
    Haga Stables is a historic royal stable building within the Haga Park palace complex in Stockholm, Sweden.
  • D. Al Quoz Stables
    Al Quoz Stables is a prominent horse training facility in Dubai, United Arab Emirates, known for housing and conditioning elite Thoroughbred racehorses.
  • E. Stonestreet Stables
    Stonestreet Stables is a prominent American Thoroughbred racing and breeding operation best known for campaigning elite racehorses such as Curlin.
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867d010c8190bc5dba6758d0b797 completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:54 p.m.