Triple
T4859135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Spezza |
E108610
|
entity |
| Predicate | NHLAllStarAppearance |
P16998
|
FINISHED |
| Object | NHL All-Star Game participant |
—
|
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: NHL All-Star Game participant | Statement: [Jason Spezza, NHLAllStarAppearance, NHL All-Star Game participant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NHLAllStarAppearance Context triple: [Jason Spezza, NHLAllStarAppearance, NHL All-Star Game participant]
-
A.
NHLAllStarAppearances
chosen
Indicates the number of times an entity has participated in an NHL All-Star Game.
-
B.
cityHostFirstNHLAllStarGame
Indicates that a city is the location where the NHL All-Star Game was held for the very first time.
-
C.
NHLAssists
Indicates that one player is credited with an assist on another player's goal in a National Hockey League (NHL) game.
-
D.
playedInNHLSeasons
Indicates that an individual participated as a player in one or more specified National Hockey League (NHL) seasons.
-
E.
NHLTeamsPlayedFor
Indicates that there exists a professional ice hockey playing relationship where a player has been a member of, and played for, one or more specified NHL teams.
- 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_69bd440b965081908b0557721cae6338 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d5c92148190a314707bdd3ff30f |
completed | March 20, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69bd6c27334481909ba8ac80854f7d8e |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:26 p.m.