Triple

T36987944
Position Surface form Disambiguated ID Type / Status
Subject Lane’s End Racing E915013 entity
Predicate operatesUnderBanner P22579 FINISHED
Object Lane’s End
Lane’s End is a prominent Thoroughbred horse farm and racing operation based in Kentucky, known for breeding and standing elite stallions and campaigning top-level racehorses.
 E2207449 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: Lane’s End | Statement: [Lane’s End Racing, operatesUnderBanner, Lane’s End]
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: Lane’s End
Triple: [Lane’s End Racing, operatesUnderBanner, Lane’s End]
Generated description
Lane’s End is a prominent Thoroughbred horse farm and racing operation based in Kentucky, known for breeding and standing elite stallions and campaigning top-level racehorses.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: operatesUnderBanner
Context triple: [Lane’s End Racing, operatesUnderBanner, Lane’s End]
  • A. presentedUnderBanner
    Indicates that something is displayed or showcased beneath or associated with a specific banner or heading.
  • B. operatesUnderName
    Indicates that an entity conducts its activities or business using a particular name, which may differ from its official or legal name.
  • C. usedBanner chosen
    Indicates that one entity employed or displayed another entity as a banner in some context or setting.
  • D. operatesBy
    Indicates that an entity performs its function, action, or process through the use or application of another entity (e.g., a method, mechanism, or principle).
  • E. operatesBelow
    Indicates that one entity functions, acts, or is positioned at a lower level, layer, or hierarchy relative to another entity.
  • 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_6a01d9ca07b88190b4ad70b6336447b6 completed May 11, 2026, 1:29 p.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_6a01d807c3048190b79f0b6b933dd3b7 completed May 11, 2026, 1:22 p.m.
Created at: May 3, 2026, 4:14 p.m.