Triple

T3523425
Position Surface form Disambiguated ID Type / Status
Subject Tingle Creek Chase E74479 entity
Predicate notableWinner P2766 FINISHED
Object Kauto Star
Kauto Star was a legendary French-bred, British-trained National Hunt racehorse best known for winning multiple King George VI Chases and Cheltenham Gold Cups.
E364773 NE FINISHED

How this triple was built (4 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: Kauto Star | Statement: [Tingle Creek Chase, notableWinner, Kauto Star]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kauto Star
Context triple: [Tingle Creek Chase, notableWinner, Kauto Star]
  • A. Stryama
    Stryama is a river in Bulgaria that flows through the central part of the country before joining the Maritsa River.
  • B. Karavola
    Karavola is the summit that forms the highest peak of Mount Parnitha in Greece.
  • C. Märsta
    Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
  • D. Thussu
    Thussu is an Indian family name associated with individuals such as Swarup Rani Thussu.
  • E. Løten
    Løten is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and historic connections to painter Edvard Munch.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Kauto Star
Triple: [Tingle Creek Chase, notableWinner, Kauto Star]
Generated description
Kauto Star was a legendary French-bred, British-trained National Hunt racehorse best known for winning multiple King George VI Chases and Cheltenham Gold Cups.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kauto Star
Target entity description: Kauto Star was a legendary French-bred, British-trained National Hunt racehorse best known for winning multiple King George VI Chases and Cheltenham Gold Cups.
  • A. Stryama
    Stryama is a river in Bulgaria that flows through the central part of the country before joining the Maritsa River.
  • B. Karavola
    Karavola is the summit that forms the highest peak of Mount Parnitha in Greece.
  • C. Märsta
    Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
  • D. Thussu
    Thussu is an Indian family name associated with individuals such as Swarup Rani Thussu.
  • E. Løten
    Løten is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and historic connections to painter Edvard Munch.
  • F. None of above. chosen

Provenance (5 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc4f16b8819094ad2755670ddc7b completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e8ae87481909eabd5847fbfa617 completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37eecfe0881909265b48c624be61f completed March 13, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_69b37f5574b08190bdde80b47f2cb99c completed March 13, 2026, 3:07 a.m.
Created at: March 8, 2026, 3:19 p.m.