Triple
T18251529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Team Blake (The Voice US) |
E437102
|
entity |
| Predicate | coachNationality |
P117818
|
FINISHED |
| Object | American |
—
|
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: American | Statement: [Team Blake (The Voice US), coachNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachNationality Context triple: [Team Blake (The Voice US), coachNationality, American]
-
A.
managerNationality
Indicates that a manager has a specific nationality.
-
B.
hasTrainerNationality
chosen
Indicates that the nationality of a trainer is associated with a particular entity (such as a person, team, or athlete).
-
C.
coachOf
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
-
D.
countryCoached
Indicates that a person has served as a coach for a particular country’s team or delegation.
-
E.
opponentNationality
Indicates that the related entity is the country or nationality of the opponent in a competitive or adversarial context.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd8124648190ae7fc9f1fc5cf9bd |
completed | April 19, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69e44fcdee748190bae6fb76e0cb22f3 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:33 a.m.