Triple
T23130829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolando Blackman |
E577160
|
entity |
| Predicate | playedInYearsForNewYorkKnicks |
P151038
|
FINISHED |
| Object | 1992–1994 |
—
|
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: 1992–1994 | Statement: [Rolando Blackman, playedInYearsForNewYorkKnicks, 1992–1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedInYearsForNewYorkKnicks Context triple: [Rolando Blackman, playedInYearsForNewYorkKnicks, 1992–1994]
-
A.
yearsAsKnicksPresident
Indicates the number of years an individual has served in the role of president of the New York Knicks organization.
-
B.
NBASeasonsPlayed
Indicates the number of seasons an entity has participated in the NBA.
-
C.
playedForEndYear
Indicates the year in which an entity’s period of playing for a particular team or organization ended.
-
D.
playedInNBA
Indicates that the subject has participated as a player in at least one official National Basketball Association (NBA) game.
-
E.
NBAdebutYear
Indicates the year in which a person first played in an official NBA game.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e87cd188190b466f7a4c9670e56 |
completed | April 29, 2026, 4:52 a.m. |
| PD | Predicate disambiguation | batch_69ef89f83b108190aaaa1db6221fc163 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 4 p.m.