Triple
T4148756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yordan Alvarez |
E89851
|
entity |
| Predicate | rookieSeason |
P54623
|
FINISHED |
| Object | 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: 2019 | Statement: [Yordan Alvarez, rookieSeason, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rookieSeason Context triple: [Yordan Alvarez, rookieSeason, 2019]
-
A.
RookieOfTheYearYear
Indicates that the specified year is the season in which the entity was awarded the Rookie of the Year honor.
-
B.
rookieDefinition
Indicates that an entity is characterized as a rookie, typically being new or inexperienced in a particular role, field, or activity.
-
C.
notableRookie
Indicates that an individual is recognized as an outstanding or especially noteworthy rookie within a particular field or context.
-
D.
trainingSeason
Indicates the specific season or time period during which training activities or programs take place.
-
E.
sharedRookieOfTheYearWith
Indicates that two entities were both awarded Rookie of the Year in the same season or context.
- 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_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. |
| PDg | Predicate description generation | batch_69af033d94888190b34349e355b874ef |
completed | March 9, 2026, 5:28 p.m. |
Created at: March 9, 2026, 3:43 p.m.