Triple
T27018463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommie Agee |
E680598
|
entity |
| Predicate | leagueRookieOfTheYear |
P166635
|
FINISHED |
| Object | American League |
—
|
NE NERFINISHED |
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: American League | Statement: [Tommie Agee, leagueRookieOfTheYear, American League]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueRookieOfTheYear Context triple: [Tommie Agee, leagueRookieOfTheYear, American League]
-
A.
leagueRookieOfTheYearSeason
Indicates that an entity was selected as the league's Rookie of the Year for a particular season.
-
B.
NBArookieOfTheYearAwards
Indicates that the subject has received one or more NBA Rookie of the Year awards.
-
C.
cupSeriesRookieOfTheYear
Indicates that the subject was awarded the Rookie of the Year honor for a particular Cup Series season.
-
D.
NBArookieOfTheYearSeason
Indicates the season in which a player received the NBA Rookie of the Year award.
-
E.
rookieMVP
Indicates that an entity was recognized as the most valuable player (MVP) during their rookie (first) season.
- 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_69eeeb5450988190bfc9a3c012ac463a |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f662a29b3881909957a7e3b986653c |
completed | May 2, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661b47d088190934f63884a203261 |
completed | May 2, 2026, 8:42 p.m. |
Created at: April 27, 2026, 7:07 a.m.