Triple
T36970504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Stockton |
E914551
|
entity |
| Predicate | NBAallTimeLeaderInAssists |
P98734
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [John Stockton, NBAallTimeLeaderInAssists, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NBAallTimeLeaderInAssists Context triple: [John Stockton, NBAallTimeLeaderInAssists, yes]
-
A.
NBAAssistsLeaderSeasons
Indicates the seasons in which a player led the NBA in total assists.
-
B.
NBAAllTimeLeaderIn
chosen
Indicates that a person holds the record for the highest career total or average in a specified statistical category in NBA history.
-
C.
assistsInNBA
Indicates a relationship where one entity provides an assist to another entity during an NBA game or within the context of NBA play.
-
D.
NBAAllTimeScoringLeader
Indicates that the subject holds the record for the most total points scored in NBA regular-season history.
-
E.
mostAssistsNumber
Indicates that an entity holds the highest number of assists recorded within a given context or comparison set.
- 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_69f76e8d13b4819089af24a47ce092fc |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.