Triple

T4412261
Position Surface form Disambiguated ID Type / Status
Subject Godolphin Racing E94876 entity
Predicate hasNotableHorse P55479 FINISHED
Object Thunder Snow E94890 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: Thunder Snow | Statement: [Godolphin Racing, hasNotableHorse, Thunder Snow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thunder Snow
Context triple: [Godolphin Racing, hasNotableHorse, Thunder Snow]
  • A. Thunder Snow chosen
    Thunder Snow is a prominent Irish-bred Thoroughbred racehorse best known for winning back-to-back Dubai World Cups in 2018 and 2019.
  • B. Snowfall
    Snowfall is an American crime drama television series that explores the early days of the crack cocaine epidemic in 1980s Los Angeles.
  • C. Snowed In
    "Snowed In" is a holiday-themed hip-hop/R&B track from Chance the Rapper and Jeremih’s collaborative Christmas project "Merry Christmas Lil Mama."
  • D. White as Snow
    "White as Snow" is a reflective, spiritually themed song by the Irish rock band U2 from their album "No Line on the Horizon."
  • E. Snowman
    Snowman is the post-apocalyptic survivor and narrator of Margaret Atwood’s dystopian novel "Oryx and Crake," through whose perspective the story’s ruined world and its origins are revealed.
  • 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_69b34539638c8190abfea3eb29425210 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35640269c8190a88fc6b59070561b completed March 13, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f6131de08190968259a0be73cd3f completed March 14, 2026, 11:58 p.m.
Created at: March 12, 2026, 11:29 p.m.