Triple
T3263188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teemu Selänne |
E68459
|
entity |
| Predicate | NHLRookiePointsRecord |
P23520
|
FINISHED |
| Object | 132 points in a season |
—
|
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: 132 points in a season | Statement: [Teemu Selänne, NHLRookiePointsRecord, 132 points in a season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NHLRookiePointsRecord Context triple: [Teemu Selänne, NHLRookiePointsRecord, 132 points in a season]
-
A.
holdsNHLRecordFor
chosen
Indicates that an entity possesses or is credited with a specific National Hockey League (NHL) record in a given category or statistic.
-
B.
NHLTeamMostNotable
Indicates that a given NHL team is considered the most notable or prominent one in a specified context or comparison set.
-
C.
NHLAssists
Indicates that one player is credited with an assist on another player's goal in a National Hockey League (NHL) game.
-
D.
NHL50GoalSeasons
Indicates that a player has achieved one or more NHL seasons in which they scored at least 50 goals.
-
E.
NHL60GoalSeasons
Indicates that a player has recorded at least one season in the NHL in which they scored 60 or more goals.
- 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafaa35e48190b894ca41dd65932b |
completed | March 8, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69ada41d7eac8190ada4bf5f793d5c49 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.