Triple
T36727179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2019 Major League Baseball season |
E907225
|
entity |
| Predicate | nationalLeagueRookieOfTheYearTeam |
P195794
|
FINISHED |
| Object | New York Mets |
—
|
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: New York Mets | Statement: [2019 Major League Baseball season, nationalLeagueRookieOfTheYearTeam, New York Mets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalLeagueRookieOfTheYearTeam Context triple: [2019 Major League Baseball season, nationalLeagueRookieOfTheYearTeam, New York Mets]
-
A.
americanLeagueRookieOfTheYearTeam
Indicates the team for which a player was playing when they received the American League Rookie of the Year award.
-
B.
nationalPlayerOfTheYearTeam
Indicates that a team had a player who was recognized as the national player of the year for a given season or competition.
-
C.
rookieOfTheYearLeague
Indicates that an entity was awarded the Rookie of the Year title in a specified sports league.
-
D.
leagueRookieOfTheYear
Indicates that the subject was selected as the league’s Rookie of the Year for the specified season or competition.
-
E.
leagueRookieOfTheYearSeason
Indicates that an entity was selected as the league's Rookie of the Year for a particular 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_69f76e746e4c8190a0d05cc6d57a643e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fde5d7d9548190880a9d95b8f0f66b |
completed | May 8, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69fde4e1bf9c81909754545275eccc03 |
completed | May 8, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69fde5d677b88190bc904e6df8617c18 |
completed | May 8, 2026, 1:32 p.m. |
Created at: May 3, 2026, 4:12 p.m.