Triple
T514966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLB All-Star Game |
E10685
|
entity |
| Predicate | MVPawardFirstYear |
P10812
|
FINISHED |
| Object | 1962 |
—
|
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: 1962 | Statement: [MLB All-Star Game, MVPawardFirstYear, 1962]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MVPawardFirstYear Context triple: [MLB All-Star Game, MVPawardFirstYear, 1962]
-
A.
MVPawardYear
chosen
Indicates the year in which an entity received a Most Valuable Player (MVP) award.
-
B.
MVP
Indicates that an entity has been selected or recognized as the “Most Valuable Player,” i.e., the most outstanding or impactful participant within a specific game, season, event, or context.
-
C.
RookieOfTheYearWinner
Indicates that the subject is the recipient of a Rookie of the Year award in a given league, season, or context.
-
D.
NBAAllRookieFirstTeam
Indicates that a basketball player was selected to the NBA All-Rookie First Team for a given season.
-
E.
NFLMVPawards
Indicates the number of times an entity has received the NFL Most Valuable Player (MVP) award.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f232fa688190b08a2fe3f22c7a6e |
completed | Feb. 28, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69a2f013c05481909e6dc87e7b20ebd8 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.