Triple
T36727067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2019 NHL All-Star Game |
E907222
|
entity |
| Predicate | OvechkinParticipation |
P186246
|
FINISHED |
| Object | did not play |
—
|
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: did not play | Statement: [2019 NHL All-Star Game, OvechkinParticipation, did not play]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OvechkinParticipation Context triple: [2019 NHL All-Star Game, OvechkinParticipation, did not play]
-
A.
playedInKHLTeam
Indicates that a person has been a player for a specific team in the Kontinental Hockey League (KHL).
-
B.
NHLAssists
Indicates that one player is credited with an assist on another player's goal in a National Hockey League (NHL) game.
-
C.
opponentTeamAtNHLDebut
Indicates the team that played against a player’s team in that player’s first NHL game.
-
D.
playsIceHockeyIn
Indicates that an entity participates in playing ice hockey at or within a specified location or organization.
-
E.
StanleyCupWinnerAsPlayerWith
Indicates that the subject entity has won the Stanley Cup as a player in association with the specified team, season, or related 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_69f76e746e4c8190a0d05cc6d57a643e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7cabacc1481909e839454ce1057f7 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7c9f4c7c48190ba918d8d5dc8dfd9 |
completed | May 3, 2026, 10:19 p.m. |
Created at: May 3, 2026, 4:12 p.m.