Triple
T4148757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yordan Alvarez |
E89851
|
entity |
| Predicate | rookieHomeRuns |
P13675
|
FINISHED |
| Object | over 25 home runs in 2019 |
—
|
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: over 25 home runs in 2019 | Statement: [Yordan Alvarez, rookieHomeRuns, over 25 home runs in 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rookieHomeRuns Context triple: [Yordan Alvarez, rookieHomeRuns, over 25 home runs in 2019]
-
A.
homeRuns
Indicates the number of home runs a player hits, or that a specific home run event occurs, in a baseball context.
-
B.
singleSeasonHomeRuns
chosen
Indicates the number of home runs a player hit during a single baseball season.
-
C.
RookieOfTheYearYear
Indicates that the specified year is the season in which the entity was awarded the Rookie of the Year honor.
-
D.
careerHomeRuns
Indicates the total number of home runs an entity has hit over the entire span of their professional career.
-
E.
homeRunSeason
Indicates that an entity (typically a player) hit a specified number of home runs during a particular season.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af033ef6648190adde17f943d89c78 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018c101081909070da5b11e5eb3d |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:43 p.m.