Triple

T36988381
Position Surface form Disambiguated ID Type / Status
Subject Tiz the Law E915026 entity
Predicate BelmontStakesEditionWon P131330 FINISHED
Object 152nd Belmont Stakes
The 152nd Belmont Stakes was the 2020 edition of the historic American Thoroughbred horse race, notable for being run as the first leg of a pandemic-altered Triple Crown series.
 E2207512 NE FINISHED

How this triple was built (3 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: 152nd Belmont Stakes | Statement: [Tiz the Law, BelmontStakesEditionWon, 152nd Belmont Stakes]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 152nd Belmont Stakes
Triple: [Tiz the Law, BelmontStakesEditionWon, 152nd Belmont Stakes]
Generated description
The 152nd Belmont Stakes was the 2020 edition of the historic American Thoroughbred horse race, notable for being run as the first leg of a pandemic-altered Triple Crown series.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: BelmontStakesEditionWon
Context triple: [Tiz the Law, BelmontStakesEditionWon, 152nd Belmont Stakes]
  • A. BelmontStakesMarginOfVictory
    Indicates the size of the winning margin by which the victor prevails in the Belmont Stakes race.
  • B. BelmontStakesTime
    Indicates the time at which the Belmont Stakes event takes place.
  • C. belmontStakesYear chosen
    Indicates the specific year in which a given running of the Belmont Stakes horse race took place.
  • D. KentuckyDerbyFinish
    Indicates the finishing position or outcome of an entity in the Kentucky Derby race.
  • E. BreedersCupMileWin
    Indicates that an entity has won the Breeders' Cup Mile horse race.
  • F. None of above.

Provenance (6 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_69f76e8dd0408190b8b46da118ea5128 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb154c0fe08190a2e41e7a29b6055f completed May 6, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3e2c52dae4819081c1f0291a849d7d completed June 26, 2026, 7:37 a.m.
NEDg Description generation batch_6a3e2cf6ae7081909fca0bbf9eeab76b completed June 26, 2026, 7:40 a.m.
NED2 Entity disambiguation (via description) batch_6a3e490a73a0819098e965f2fb00c3ae completed June 26, 2026, 9:40 a.m.
PD Predicate disambiguation batch_69f9fecc005c8190be082a8689193745 completed May 5, 2026, 2:29 p.m.
Created at: May 3, 2026, 4:14 p.m.