Triple

T25086961
Position Surface form Disambiguated ID Type / Status
Subject America's Cup 1980 E628349 entity
Predicate defenderDesigner P160095 FINISHED
Object Germán Frers
Germán Frers is a renowned Argentine naval architect best known for designing high-performance racing and cruising yachts for top international competitions and prestigious boatyards.
 E1664765 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: Germán Frers | Statement: [America's Cup 1980, defenderDesigner, Germán Frers]
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: Germán Frers
Triple: [America's Cup 1980, defenderDesigner, Germán Frers]
Generated description
Germán Frers is a renowned Argentine naval architect best known for designing high-performance racing and cruising yachts for top international competitions and prestigious boatyards.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: defenderDesigner
Context triple: [America's Cup 1980, defenderDesigner, Germán Frers]
  • A. defender
    Indicates a relationship where one entity protects, guards, or supports another entity against threats, attacks, or criticism.
  • B. defenderBase
    Indicates that one entity serves as the primary defensive location or stronghold associated with another entity.
  • C. defenderIn
    Indicates that an entity serves as a defensive agent or protector within a specified context, situation, or domain.
  • D. defenceEngineer
    Indicates a relationship where an entity works as an engineer specializing in defense-related systems, technologies, or projects.
  • E. defensiveSystemDesignedBy
    Indicates that a defensive system was created or engineered by a specific agent or designer.
  • F. None of above. chosen

Provenance (7 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_69e2ff2f58e881908340527bc5d34f07 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f6018f91248190985323d1a678e539 completed May 2, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1048e5d6188190ba50f5bac4237e3b completed May 22, 2026, 12:15 p.m.
NEDg Description generation batch_6a104cbac0b48190ac739e35c090180f completed May 22, 2026, 12:31 p.m.
NED2 Entity disambiguation (via description) batch_6a104d2be4f08190a7a94bc1b04223cf completed May 22, 2026, 12:33 p.m.
PD Predicate disambiguation batch_69f5f7f99dc08190afcfb3bc4dfbec1d completed May 2, 2026, 1:11 p.m.
PDg Predicate description generation batch_69f5ffc6268c8190b63f6360ebadab73 completed May 2, 2026, 1:44 p.m.
Created at: April 18, 2026, 6:23 a.m.