Triple
T9884990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Kerr |
E180907
|
entity |
| Predicate | amongAllTimeLeadersIn |
P29425
|
FINISHED |
| Object | NBA career three-point field goal percentage |
—
|
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: NBA career three-point field goal percentage | Statement: [Steve Kerr, amongAllTimeLeadersIn, NBA career three-point field goal percentage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: amongAllTimeLeadersIn Context triple: [Steve Kerr, amongAllTimeLeadersIn, NBA career three-point field goal percentage]
-
A.
leagueLeaderIn
Indicates that an entity is the current top-ranked or leading participant within a specified league or competition.
-
B.
leagueLeader
Indicates that the subject entity is currently ranked first or holds the top position within a specified league or competitive grouping.
-
C.
isAllTimeRecordHolderFor
chosen
Indicates that an entity holds the highest or best performance record of all time for a particular category, event, or metric.
-
D.
pointsLeader
Indicates that the subject entity is the current leader in points relative to other entities in a given context or competition.
-
E.
winsLeader
Indicates that one entity achieves victory or leadership over another in a competitive or comparative context.
- 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_69ca828082cc8190a40f8d299caa6545 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb45549488190833200977d558e47 |
completed | April 2, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69cd1d810ed48190a252b70e9390c8f3 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:38 p.m.