Triple
T38058315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copa Sudamericana 2020 with Defensa y Justicia |
E950264
|
entity |
| Predicate | managerFullName |
P131030
|
FINISHED |
| Object | Hernán Jorge Crespo |
—
|
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: Hernán Jorge Crespo | Statement: [Copa Sudamericana 2020 with Defensa y Justicia, managerFullName, Hernán Jorge Crespo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: managerFullName Context triple: [Copa Sudamericana 2020 with Defensa y Justicia, managerFullName, Hernán Jorge Crespo]
-
A.
coachFullName
chosen
Indicates the full, properly formatted name of a coach associated with an entity.
-
B.
commanderFullName
Indicates that the predicate specifies the complete personal name of the commander associated with an entity.
-
C.
fullName
Indicates that an entity has a complete personal name, typically combining given name(s) and family name into a single string.
-
D.
managerFrom
Indicates that one entity serves as a manager originating from, or associated with, a specified source such as an organization, location, or department.
-
E.
reporterFullName
Indicates the complete personal name of the reporter associated with an event, record, or report.
- 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_69f76f01e63c819093b6012fc974f35a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd5bf69acc819092a01e4259785dc3 |
completed | May 8, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69fd59b3f4ac8190a7f9dd3142da6e09 |
completed | May 8, 2026, 3:34 a.m. |
Created at: May 3, 2026, 4:21 p.m.