Triple

T24976888
Position Surface form Disambiguated ID Type / Status
Subject TI–Raleigh E625045 entity
Predicate hadNotableRider P51007 FINISHED
Object Hennie Kuiper
Hennie Kuiper is a Dutch former professional road cyclist renowned for winning the world road race title, an Olympic gold medal, and multiple classic races during the 1970s and 1980s.
 E1658310 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: Hennie Kuiper | Statement: [TI–Raleigh, hadNotableRider, Hennie Kuiper]
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: Hennie Kuiper
Triple: [TI–Raleigh, hadNotableRider, Hennie Kuiper]
Generated description
Hennie Kuiper is a Dutch former professional road cyclist renowned for winning the world road race title, an Olympic gold medal, and multiple classic races during the 1970s and 1980s.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hadNotableRider
Context triple: [TI–Raleigh, hadNotableRider, Hennie Kuiper]
  • A. hasNotableRide
    Indicates that an entity is associated with a particularly remarkable or well-known ride or attraction.
  • B. hasNotableJockey
    Indicates that an entity (typically a racehorse) is or was ridden by a jockey who is considered notable or distinguished.
  • C. hasNotableHorse
    Indicates that an entity is associated with a horse that is considered notable or distinguished in some recognized way.
  • D. hasNotableSurfer
    Indicates that an entity is associated with a surfer who is recognized as notable or distinguished in some way.
  • E. notableRiderType chosen
    Indicates that an entity is notably associated with a particular type or category of rider (e.g., cyclist, jockey, driver).
  • 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_69e2ff254570819093d197b1900305ac completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f464b4c9b0819085daa00c7c3b8b76 completed May 1, 2026, 8:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10335f95cc81908c36e4841a10e0e7 completed May 22, 2026, 10:43 a.m.
NEDg Description generation batch_6a103420ed908190b7be8e1a8b82a85c completed May 22, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a1034aa0ed881909d877e1d9159b9d2 completed May 22, 2026, 10:49 a.m.
PD Predicate disambiguation batch_69f45cfb53f4819099bba48c5057e787 completed May 1, 2026, 7:57 a.m.
Created at: April 18, 2026, 6:02 a.m.