Triple
T9884986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Kerr |
E180907
|
entity |
| Predicate | roleInChampionshipTeams |
P13665
|
FINISHED |
| Object | reserve guard |
—
|
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: reserve guard | Statement: [Steve Kerr, roleInChampionshipTeams, reserve guard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInChampionshipTeams Context triple: [Steve Kerr, roleInChampionshipTeams, reserve guard]
-
A.
associatedWithChampionshipTeams
Indicates a relationship where an entity has a connection or involvement with one or more championship-winning teams.
-
B.
roleAtSportsTeam
chosen
Indicates the specific position or function an individual holds within a sports team.
-
C.
championshipWithTeam
Indicates that an entity has won or holds a championship title specifically while being a member of a particular team.
-
D.
teamInChampionship
Indicates that a particular team is participating in or is a contender within a specified championship event.
-
E.
memberTeamAtVariousTimes
Indicates that an entity has been a member of a particular team during one or more distinct time periods.
- 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.