Triple
T5968209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donnie Freeman |
E132804
|
entity |
| Predicate | leagueScoringRankABAAllTime |
P66806
|
FINISHED |
| Object | among top career scorers |
—
|
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: among top career scorers | Statement: [Donnie Freeman, leagueScoringRankABAAllTime, among top career scorers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueScoringRankABAAllTime Context triple: [Donnie Freeman, leagueScoringRankABAAllTime, among top career scorers]
-
A.
NBAAllTimeScoringRank
Indicates the position an NBA player holds on the all-time career points scored leaderboard relative to all other players.
-
B.
NBAfranchiseRecordsHeld
Indicates that a person or team holds one or more franchise-specific NBA records for a given franchise.
-
C.
NBAAllTimeScoringLeader
Indicates that the subject holds the record for the most total points scored in NBA regular-season history.
-
D.
NBAAllNBASelection
Indicates that a player has been selected to an All-NBA Team (First, Second, or Third Team) for a given NBA season.
-
E.
allStarGameScore
Indicates the scoring outcome or points achieved by an entity in an All-Star Game event.
- 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03e174c7c8190b04113f6529f5f0e |
completed | March 22, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69c0335b55a48190927a5b1529edb542 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03e16476481908361fbb3049664e9 |
completed | March 22, 2026, 7:08 p.m. |
Created at: March 22, 2026, 4:03 p.m.