Triple
T18251530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Team Blake (The Voice US) |
E437102
|
entity |
| Predicate | coachFullName |
P131030
|
FINISHED |
| Object | Blake Tollison Shelton |
—
|
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: Blake Tollison Shelton | Statement: [Team Blake (The Voice US), coachFullName, Blake Tollison Shelton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachFullName Context triple: [Team Blake (The Voice US), coachFullName, Blake Tollison Shelton]
-
A.
coachOf
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
-
B.
managerFullNameOfChampionTeam
Indicates the full name of the manager who leads or is in charge of the champion team.
-
C.
batterFullName
Indicates the full name of the person who is acting as the batter in a given context or event.
-
D.
winnerFullName
Indicates the full personal name of the entity that is the winner in a given event or competition.
-
E.
opponentFullName
Indicates the full name of an entity’s opponent in a competitive or adversarial context.
- 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_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. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:33 a.m.