Triple
T1415371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kobe Bryant |
E31901
|
entity |
| Predicate | NBAfranchiseRecordsHeld |
P27520
|
FINISHED |
| Object | all-time leading scorer for Los Angeles Lakers |
—
|
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: all-time leading scorer for Los Angeles Lakers | Statement: [Kobe Bryant, NBAfranchiseRecordsHeld, all-time leading scorer for Los Angeles Lakers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NBAfranchiseRecordsHeld Context triple: [Kobe Bryant, NBAfranchiseRecordsHeld, all-time leading scorer for Los Angeles Lakers]
-
A.
NBAAllNBASelection
Indicates that a player has been selected to an All-NBA Team (First, Second, or Third Team) for a given NBA season.
-
B.
NBAAllTimeScoringRank
Indicates the position an NBA player holds on the all-time career points scored leaderboard relative to all other players.
-
C.
NBAReboundingLeaderYears
Indicates the years in which an entity was the NBA leader in rebounds.
-
D.
NBAchampionships
Indicates that one entity has won a specified number of NBA championships (league titles) in professional basketball.
-
E.
NBA_MVP_awards
Indicates the number of times an entity has received the NBA Most Valuable Player (MVP) award.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c402b1648190b87802d9beb2712e |
completed | March 1, 2026, 10:56 p.m. |
| PD | Predicate disambiguation | batch_69a4bf060b0081909ba00e6ac093a28b |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c06721488190ac7f6e012f21af3d |
completed | March 1, 2026, 10:40 p.m. |
Created at: March 1, 2026, 7:59 p.m.