Triple
T29710380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germany vs Mexico |
E751761
|
entity |
| Predicate | MexicoCoach |
P2169
|
FINISHED |
| Object | Juan Carlos Osorio |
—
|
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: Juan Carlos Osorio | Statement: [Germany vs Mexico, MexicoCoach, Juan Carlos Osorio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MexicoCoach Context triple: [Germany vs Mexico, MexicoCoach, Juan Carlos Osorio]
-
A.
coachOf
chosen
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
-
B.
HoustonCoach
Indicates that an individual serves as a coach for a sports team or organization based in Houston.
-
C.
dallasCoach
Indicates that one entity serves as the coach of a Dallas-based sports team associated with the other entity.
-
D.
CaliforniaHeadCoach
Indicates that one entity serves as the head coach of a sports team or program based in California.
-
E.
OregonCoach
Indicates that a person holds or has held a coaching position for a sports team associated with Oregon (such as the University of Oregon or a professional team based in Oregon).
- 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672d8463481909f9144dbfa8be162 |
completed | May 2, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 7:30 p.m.