Triple
T36727177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2019 Major League Baseball season |
E907225
|
entity |
| Predicate | americanLeagueRookieOfTheYearTeam |
P187014
|
FINISHED |
| Object | Houston Astros |
—
|
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: Houston Astros | Statement: [2019 Major League Baseball season, americanLeagueRookieOfTheYearTeam, Houston Astros]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: americanLeagueRookieOfTheYearTeam Context triple: [2019 Major League Baseball season, americanLeagueRookieOfTheYearTeam, Houston Astros]
-
A.
RookieOfTheYearWinner
Indicates that the subject is the recipient of a Rookie of the Year award in a given league, season, or context.
-
B.
rookieOfTheYearLeague
Indicates that an entity was awarded the Rookie of the Year title in a specified sports league.
-
C.
leagueRookieOfTheYear
Indicates that the subject was selected as the league’s Rookie of the Year for the specified season or competition.
-
D.
leagueRookieOfTheYearSeason
Indicates that an entity was selected as the league's Rookie of the Year for a particular season.
-
E.
RookieOfTheYearYear
Indicates that the specified year is the season in which the entity was awarded the Rookie of the Year honor.
- 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_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fb2e9309fc81909dfefd9020d6fbad |
completed | May 6, 2026, 12:05 p.m. |
Created at: May 3, 2026, 4:12 p.m.