Triple
T37859028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monta Ellis |
E944271
|
entity |
| Predicate | teamEndYear (Milwaukee Bucks) |
P26888
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [Monta Ellis, teamEndYear (Milwaukee Bucks), 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamEndYear (Milwaukee Bucks) Context triple: [Monta Ellis, teamEndYear (Milwaukee Bucks), 2013]
-
A.
BucksChampionshipCountAfterSeason
Indicates the total number of NBA championships the Bucks have won as of the end of a given season.
-
B.
BucksRegularSeasonRecord
Indicates the win–loss record achieved by the Bucks during a specific NBA regular season.
-
C.
BucksDivision
Indicates a relationship where one entity is a subdivision, section, or branch within a larger organizational or structural unit referred to as "Bucks."
-
D.
NBAteamTenure
chosen
Indicates the period of time during which a player is a member of a specific NBA team.
-
E.
BucksCoach
Indicates that the subject serves as a coach for the Milwaukee Bucks basketball team.
- 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:19 p.m.