Triple
T9885002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Kerr |
E180907
|
entity |
| Predicate | ledTeamToRecord |
P5917
|
FINISHED |
| Object | 73 regular-season wins in 2015-16 |
—
|
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: 73 regular-season wins in 2015-16 | Statement: [Steve Kerr, ledTeamToRecord, 73 regular-season wins in 2015-16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ledTeamToRecord Context triple: [Steve Kerr, ledTeamToRecord, 73 regular-season wins in 2015-16]
-
A.
ledTeamTo
chosen
Indicates that one entity acted as a leader or guiding force that directed a team toward achieving a particular goal, outcome, or success.
-
B.
ledTeamIn
Indicates that one entity had primary leadership responsibility over a team in which the other entity participated or was involved.
-
C.
recordTeam
Indicates that a particular team is officially documented or stored as part of a record in a system or dataset.
-
D.
teamRecordSet
Indicates that a particular record or set of records is associated with, or assigned to, a specific team.
-
E.
teamRecord
Indicates the recorded performance statistics (such as wins, losses, and ties) associated with a particular team over a defined period or competition.
- 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.