Triple
T22390706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricky Martin |
E553503
|
entity |
| Predicate | performedWorkAtEvent |
P111518
|
FINISHED |
| Object | La Copa de la Vida at the 1999 Grammy Awards |
—
|
LITERAL FINISHED |
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: La Copa de la Vida at the 1999 Grammy Awards | Statement: [Ricky Martin, performedWorkAtEvent, La Copa de la Vida at the 1999 Grammy Awards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performedWorkAtEvent Context triple: [Ricky Martin, performedWorkAtEvent, La Copa de la Vida at the 1999 Grammy Awards]
-
A.
participatedInEvent
Indicates that an entity took part in or was actively involved in a specific event.
-
B.
performedInWorkBy
Indicates that an action or role was carried out within a specific work (e.g., a film, book, or composition) by a particular agent or contributor.
-
C.
performedForEvent
Indicates that an action or service was carried out specifically in connection with, or on behalf of, a particular event.
-
D.
performedByAtEvent
chosen
Indicates that an action or performance was carried out by a specific agent during a particular event.
-
E.
performedLabourAt
Indicates that an entity carried out work or labor activities at a specific place or organization.
- F. None of above.
Provenance (3 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15859853c8190b849cb34a94106da |
completed | April 29, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69e73015484c8190a9a0b9f554b61a81 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:45 p.m.