Triple
T25086961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America's Cup 1980 |
E628349
|
entity |
| Predicate | defenderDesigner |
P160095
|
FINISHED |
| Object | Germán Frers |
—
|
NE NERFINISHED |
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: Germán Frers | Statement: [America's Cup 1980, defenderDesigner, Germán Frers]
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 (4 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. |
| 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.