Triple
T5196040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ed Sadowski |
E117273
|
entity |
| Predicate | playedForTeamInSeason |
P2168
|
FINISHED |
| Object | Toronto Huskies 1946–47 |
—
|
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: Toronto Huskies 1946–47 | Statement: [Ed Sadowski, playedForTeamInSeason, Toronto Huskies 1946–47]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedForTeamInSeason Context triple: [Ed Sadowski, playedForTeamInSeason, Toronto Huskies 1946–47]
-
A.
playedFor
Indicates that one entity has been a member of or participated as a player for a particular team, organization, or group.
-
B.
teamPlayedFor
chosen
Indicates that a person was a member of and played for a particular sports team.
-
C.
playedForTeamEnd
Indicates that an entity’s period of playing for a particular team ended at a specified time or event.
-
D.
numberOfSeasonsWithTeam
Indicates the total count of seasons an entity (e.g., a player or coach) has spent with a particular team.
-
E.
leagueParticipatedInAsPlayer
Indicates that a person, in the role of a player, took part in competitions organized by a specific 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adb034c819086bf8a85fbf158f4 |
completed | March 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69bd77b9a67c8190819612257ea746b4 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:46 p.m.