Triple
T36782978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Malone |
E908822
|
entity |
| Predicate | scoringRankNBAAllTime |
P21479
|
FINISHED |
| Object | second at time of retirement |
—
|
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: second at time of retirement | Statement: [Karl Malone, scoringRankNBAAllTime, second at time of retirement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scoringRankNBAAllTime Context triple: [Karl Malone, scoringRankNBAAllTime, second at time of retirement]
-
A.
NBAAllTimeScoringRank
chosen
Indicates the position an NBA player holds on the all-time career points scored leaderboard relative to all other players.
-
B.
NBAAllTimeScoringLeader
Indicates that the subject holds the record for the most total points scored in NBA regular-season history.
-
C.
NBAAllTimeLeaderIn
Indicates that a person holds the record for the highest career total or average in a specified statistical category in NBA history.
-
D.
leagueScoringRankABAAllTime
Indicates a subject’s all-time scoring rank within the American Basketball Association (ABA) across the entire history of the league.
-
E.
ACCAllTimeScoringLeader
Indicates the relationship where an entity holds the record for scoring the most points in ACC competition over all time.
- 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_69f76e7a937c81909ed7359641e670f6 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f823ec819086c46cb2fe0a1b34 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.