Triple
T15850503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rookie of the Year (B.League) |
E384322
|
entity |
| Predicate | hasRookieDefinition |
P45639
|
FINISHED |
| Object | first-year player in the B.League |
—
|
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: first-year player in the B.League | Statement: [Rookie of the Year (B.League), hasRookieDefinition, first-year player in the B.League]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRookieDefinition Context triple: [Rookie of the Year (B.League), hasRookieDefinition, first-year player in the B.League]
-
A.
rookieDefinition
chosen
Indicates that an entity is characterized as a rookie, typically being new or inexperienced in a particular role, field, or activity.
-
B.
rookieSeason
Indicates the season in which an individual first begins their professional or official participation in a given activity or league.
-
C.
notableRookie
Indicates that an individual is recognized as an outstanding or especially noteworthy rookie within a particular field or context.
-
D.
rookieClassIncludes
Indicates that a particular rookie class contains or includes a given member or element.
-
E.
rookieOPS
Indicates the on-base plus slugging (OPS) performance metric associated with a player during their rookie season.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142b976c081908d3ba3e705419f3a |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:50 a.m.