Triple
T4845683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABA Rookie of the Year Award (Mel Daniels, 1967–68) |
E108283
|
entity |
| Predicate | isRookieSeasonOfRecipient |
P26144
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [ABA Rookie of the Year Award (Mel Daniels, 1967–68), isRookieSeasonOfRecipient, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRookieSeasonOfRecipient Context triple: [ABA Rookie of the Year Award (Mel Daniels, 1967–68), isRookieSeasonOfRecipient, true]
-
A.
rookieSeason
Indicates the season in which an individual first begins their professional or official participation in a given activity or league.
-
B.
hasJuniorStatus
Indicates that one entity holds a lower, subordinate, or less senior status relative to another entity within a defined hierarchy or context.
-
C.
firstYearPlayed
chosen
Indicates the year in which an entity (such as a person or team) first began participating in the specified activity or domain.
-
D.
sharedRookieOfTheYearWith
Indicates that two entities were both awarded Rookie of the Year in the same season or context.
-
E.
hallOfFameEligibility
Indicates whether an entity meets the criteria or conditions required to be considered for induction into a hall of fame.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e01872c81909607010c10538ad1 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2375a4819098e16acb982c8fab |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:25 p.m.