Triple
T15038082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shareef Abdur-Rahim |
E378527
|
entity |
| Predicate | averageAssistsPerGameInNBA |
P116497
|
FINISHED |
| Object | 2.5 |
—
|
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: 2.5 | Statement: [Shareef Abdur-Rahim, averageAssistsPerGameInNBA, 2.5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageAssistsPerGameInNBA Context triple: [Shareef Abdur-Rahim, averageAssistsPerGameInNBA, 2.5]
-
A.
assistsInNBA
Indicates a relationship where one entity provides an assist to another entity during an NBA game or within the context of NBA play.
-
B.
topAssistsAssistsPerGame
Indicates that the subject ranks among the top performers in terms of average assists made per game.
-
C.
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.
-
D.
NBAAssistsLeaderSeasons
Indicates the seasons in which a player led the NBA in total assists.
-
E.
LeBronJamesAssistsPerGame
Indicates the average number of assists LeBron James records per game.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82cf3848190b0b2b6c9e65bc70b |
completed | April 15, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69de9a69d7848190b2b4662dd30f20e9 |
completed | April 14, 2026, 7:50 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:59 a.m.