Triple
T27920295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA rebounding title |
E706186
|
entity |
| Predicate | firstSeasonWithOfficialReboundStats |
P200143
|
FINISHED |
| Object | 1950–51 NBA season |
—
|
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: 1950–51 NBA season | Statement: [NBA rebounding title, firstSeasonWithOfficialReboundStats, 1950–51 NBA season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSeasonWithOfficialReboundStats Context triple: [NBA rebounding title, firstSeasonWithOfficialReboundStats, 1950–51 NBA season]
-
A.
firstNBAAllStarAppearanceYear
Indicates the calendar year in which an individual made their first appearance in an NBA All-Star Game.
-
B.
NBAdebutYear
Indicates the year in which a person first played in an official NBA game.
-
C.
statRebounds
Indicates the number of rebounds an entity (typically a player or team) records in a game or over a specified period.
-
D.
NBAReboundingLeaderYears
Indicates the years in which an entity was the NBA leader in rebounds.
-
E.
careerReboundsPerGame
Indicates the average number of rebounds a player records per game over the course of their entire career.
- 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_69ef96b6cc808190aab19fb18b235f4b |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69ff779e3f0c8190a861f1e4000fd9d9 |
completed | May 9, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69ff77202638819086e4b9f9c0bc7b31 |
completed | May 9, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69ff779d3d788190af5a2dbc4d7ca3c8 |
completed | May 9, 2026, 6:06 p.m. |
Created at: April 27, 2026, 6:56 p.m.