Triple
T26471637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Tanti |
E665914
|
entity |
| Predicate | sportNumberOfSeasonsInLeague |
P162338
|
FINISHED |
| Object | multiple seasons in NHL |
—
|
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: multiple seasons in NHL | Statement: [Tony Tanti, sportNumberOfSeasonsInLeague, multiple seasons in NHL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportNumberOfSeasonsInLeague Context triple: [Tony Tanti, sportNumberOfSeasonsInLeague, multiple seasons in NHL]
-
A.
careerSeasons
Indicates the number or set of seasons during which an entity actively participated in a particular career or professional role.
-
B.
NBASeasonsPlayed
Indicates the number of seasons an entity has participated in the NBA.
-
C.
sportNumberOfSeasonsInMinors
Indicates the total number of seasons an athlete spent playing in minor or lower-level leagues before or outside of major-league competition.
-
D.
leagueFoundedSeason
Indicates the season during which a particular league was established or founded.
-
E.
numberOfSeasonsWithTeam
Indicates the total count of seasons an entity (e.g., a player or coach) has spent with a particular team.
- 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_69ee883f80dc819090e311b022b78e02 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6250321088190ae3ed1dc9f2fcd03 |
completed | May 2, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69f623a7539c8190b71797f583da9f63 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f62473a38481909b919f88ffb5b492 |
completed | May 2, 2026, 4:21 p.m. |
Created at: April 27, 2026, 12:20 a.m.