Triple
T25475407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scottie Scheffler |
E638416
|
entity |
| Predicate | teamCompetitionRecord |
P13110
|
FINISHED |
| Object | Ryder Cup winner with Team USA |
—
|
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: Ryder Cup winner with Team USA | Statement: [Scottie Scheffler, teamCompetitionRecord, Ryder Cup winner with Team USA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamCompetitionRecord Context triple: [Scottie Scheffler, teamCompetitionRecord, Ryder Cup winner with Team USA]
-
A.
teamRecord
Indicates the recorded performance statistics (such as wins, losses, and ties) associated with a particular team over a defined period or competition.
-
B.
teamRecordSet
Indicates that a particular record or set of records is associated with, or assigned to, a specific team.
-
C.
teamAchievement
chosen
Indicates that a group of individuals collectively accomplished a shared goal or met a performance milestone.
-
D.
recordTeam
Indicates that a particular team is officially documented or stored as part of a record in a system or dataset.
-
E.
NLTeamRegularSeasonRecord
Indicates the win–loss (and often tie) performance record of a National League baseball team over a regular season.
- 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_69e75db9b964819096802dcf502e577e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f754447c8190acc16c440f8bb03d |
completed | May 2, 2026, 1:08 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 2:25 p.m.