Triple
T11421807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray Scapinello |
E270640
|
entity |
| Predicate | numberOfNHLRegularSeasonGamesOfficiated |
P99221
|
FINISHED |
| Object | over 2600 |
—
|
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: over 2600 | Statement: [Ray Scapinello, numberOfNHLRegularSeasonGamesOfficiated, over 2600]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNHLRegularSeasonGamesOfficiated Context triple: [Ray Scapinello, numberOfNHLRegularSeasonGamesOfficiated, over 2600]
-
A.
gamesPlayedInNHL
Indicates the number of games an individual has participated in within the National Hockey League (NHL).
-
B.
numberOfNHLTeamsPlayedFor
Indicates the total count of distinct NHL teams for which a given player has played.
-
C.
numberOfNHLSeasons
Indicates the total count of seasons an entity has participated in the National Hockey League (NHL).
-
D.
numberOfNHLWins
Indicates the total count of games a team or individual has won in the National Hockey League.
-
E.
playedInNHLSeasons
Indicates that an individual participated as a player in one or more specified National Hockey League (NHL) seasons.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d801b357e88190ace56d36a945688f |
completed | April 9, 2026, 7:44 p.m. |
| PD | Predicate disambiguation | batch_69d7e71436f88190ac7e45a04ea5c987 |
completed | April 9, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69d80010712c819089ea2e31e664abe1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:34 p.m.