Triple
T34457978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilt Chamberlain |
E884552
|
entity |
| Predicate | nbaAssistTitle |
P98733
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Wilt Chamberlain, nbaAssistTitle, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nbaAssistTitle Context triple: [Wilt Chamberlain, nbaAssistTitle, 1]
-
A.
NBAAssistsLeaderSeasons
chosen
Indicates the seasons in which a player led the NBA in total assists.
-
B.
assistsInNBA
Indicates a relationship where one entity provides an assist to another entity during an NBA game or within the context of NBA play.
-
C.
NBA_MVP_awards
Indicates the number of times an entity has received the NBA Most Valuable Player (MVP) award.
-
D.
mostAssistsPlayer
Indicates that the subject is the player who recorded the highest number of assists for the referenced game, season, team, or context.
-
E.
MVPAssists
Indicates that one entity, recognized as the most valuable player (MVP), provides assistance or support to another entity in achieving a goal or outcome.
- 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_69f349c73a94819094dfcf50d00620b8 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7197872e881909823c01d2a819998 |
completed | May 3, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 2 a.m.