Triple
T37859027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monta Ellis |
E944271
|
entity |
| Predicate | teamStartYear (Milwaukee Bucks) |
P149037
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [Monta Ellis, teamStartYear (Milwaukee Bucks), 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamStartYear (Milwaukee Bucks) Context triple: [Monta Ellis, teamStartYear (Milwaukee Bucks), 2012]
-
A.
BucksChampionshipCountAfterSeason
Indicates the total number of NBA championships the Bucks have won as of the end of a given season.
-
B.
NBATeamDebut
chosen
Indicates the event or point in time when an individual first appears or plays for a specific NBA team.
-
C.
BucksRegularSeasonRecord
Indicates the win–loss record achieved by the Bucks during a specific NBA regular season.
-
D.
hasNBAFranchiseHistoryFrom
Indicates that an entity has a history of operating an NBA franchise originating from a specified location or organization.
-
E.
NBAdebutYear
Indicates the year in which a person first played in an official NBA game.
- 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.