Triple
T16143714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 NBA All-Star Game |
E391723
|
entity |
| Predicate | KobeBryantAssists |
P90074
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [2016 NBA All-Star Game, KobeBryantAssists, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: KobeBryantAssists Context triple: [2016 NBA All-Star Game, KobeBryantAssists, 7]
-
A.
assistsInNBA
chosen
Indicates a relationship where one entity provides an assist to another entity during an NBA game or within the context of NBA play.
-
B.
LeBronJamesAssistsPerGame
Indicates the average number of assists LeBron James records 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.
totalCareerAssists
Indicates the total number of assists an entity has accumulated over the course of its entire career.
-
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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d91925c81909839a4e2f189d23b |
completed | April 17, 2026, 11:46 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.