Triple
T5746103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyle Lowry |
E126735
|
entity |
| Predicate | RaptorsFranchiseLeaderCategory |
P27520
|
FINISHED |
| Object | assists |
—
|
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: assists | Statement: [Kyle Lowry, RaptorsFranchiseLeaderCategory, assists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RaptorsFranchiseLeaderCategory Context triple: [Kyle Lowry, RaptorsFranchiseLeaderCategory, assists]
-
A.
NBAfranchiseRecordsHeld
chosen
Indicates that a person or team holds one or more franchise-specific NBA records for a given franchise.
-
B.
franchiseReboundsLeader
Indicates the player who holds the record for the most rebounds in a franchise’s history.
-
C.
NBAteamAchievement
Indicates that an NBA team has attained a specific accomplishment, milestone, or honor within professional basketball competition.
-
D.
MVPPoints
Indicates the number of points an entity has earned toward a Most Valuable Player (MVP) recognition or award.
-
E.
collegeTeamPointsPerGameLeader
Indicates the player who leads a college team in average points scored per game.
- 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b52663c8190ab44258468d4296d |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021ca61688190875bd6107161c284 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:48 p.m.