Triple
T19266424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomáš Vlasák |
E481791
|
entity |
| Predicate | numberOfNHLGames |
P10986
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Tomáš Vlasák, numberOfNHLGames, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNHLGames Context triple: [Tomáš Vlasák, numberOfNHLGames, 10]
-
A.
gamesPlayedInNHL
chosen
Indicates the number of games an individual has participated in within the National Hockey League (NHL).
-
B.
numberOfNHLRegularSeasonGamesOfficiated
Indicates the total count of NHL regular season games that a particular official has overseen.
-
C.
numberOfNHLTeamsPlayedFor
Indicates the total count of distinct NHL teams for which a given player has played.
-
D.
numberOfNHLPlayoffGamesOfficiated
Indicates the total count of NHL playoff games that a given official has overseen or refereed.
-
E.
numberOfNHLWins
Indicates the total count of games a team or individual has won in the National Hockey League.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb8d58988190a942627b1fb79285 |
completed | April 20, 2026, 10:10 a.m. |
| PD | Predicate disambiguation | batch_69e4dd07a7208190afcd51ba1dc87c33 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:29 p.m.