Triple
T25153606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shea Theodore |
E626245
|
entity |
| Predicate | winnerWithTeam |
P20666
|
FINISHED |
| Object | Vegas Golden Knights |
—
|
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: Vegas Golden Knights | Statement: [Shea Theodore, winnerWithTeam, Vegas Golden Knights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerWithTeam Context triple: [Shea Theodore, winnerWithTeam, Vegas Golden Knights]
-
A.
winningTeam
Indicates which team is the victor in a given competition, game, or contest.
-
B.
winsWithTeam
chosen
Indicates that an entity achieves a victory as a member of, or in conjunction with, a specific team.
-
C.
winningManagerTeam
Indicates that the specified manager is the head coach/manager of the team that won a particular game, match, or competition.
-
D.
managerWinningTeam
Indicates that the subject is the manager or coach of the team that won a particular competition or match.
-
E.
firstWinnerTeam
Indicates that the referenced team is the one that secured first place or victory in a given competition or event.
- 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_69e2ff2834ec8190b0872e2ec3d76023 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 18, 2026, 6:30 a.m.