Triple
T4728703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl Monroe |
E104949
|
entity |
| Predicate | NBARookieOfTheYearSeason |
P31394
|
FINISHED |
| Object | 1967–68 |
—
|
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: 1967–68 | Statement: [Earl Monroe, NBARookieOfTheYearSeason, 1967–68]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NBARookieOfTheYearSeason Context triple: [Earl Monroe, NBARookieOfTheYearSeason, 1967–68]
-
A.
RookieOfTheYearYear
Indicates that the specified year is the season in which the entity was awarded the Rookie of the Year honor.
-
B.
leagueRookieOfTheYearSeason
chosen
Indicates that an entity was selected as the league's Rookie of the Year for a particular season.
-
C.
rookieOfTheYearTrophy
Indicates that an entity has been awarded the Rookie of the Year trophy in a particular league, season, or competition.
-
D.
RookieOfTheYearWinner
Indicates that the subject is the recipient of a Rookie of the Year award in a given league, season, or context.
-
E.
sharedRookieOfTheYearWith
Indicates that two entities were both awarded Rookie of the Year in the same season or context.
- 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_69bd43ed84648190ae0b7ee8e8d00482 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6220071881909670c89d072ffb6d |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:19 p.m.