Triple
T260839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Havlicek |
E5536
|
entity |
| Predicate | NBAAllNBAFirstTeamSelections |
P10046
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [John Havlicek, NBAAllNBAFirstTeamSelections, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NBAAllNBAFirstTeamSelections Context triple: [John Havlicek, NBAAllNBAFirstTeamSelections, 4]
-
A.
NBAAllStarSelections
Indicates the number of times an individual has been selected to participate in the NBA All-Star Game.
-
B.
NBAAllStarGameMVPawards
Indicates that the subject has received one or more NBA All-Star Game Most Valuable Player (MVP) awards.
-
C.
NBAAllStarYears
Indicates the years in which a given player was selected as an NBA All-Star.
-
D.
NBAReboundingLeaderYears
Indicates the years in which an entity was the NBA leader in rebounds.
-
E.
NBAExecutiveOfTheYearAwards
Indicates the relationship where an individual receives or is honored with the NBA Executive of the Year award for a particular season or time period.
- F. None of above. chosen
Provenance (4 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25e2aba74819093eddd8d820260c0 |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b6c968c819094fc903a3a377e15 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25e292fdc8190bfd51d8848f9ed58 |
completed | Feb. 28, 2026, 3:16 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.