Triple
T17246056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yordan Álvarez |
E418626
|
entity |
| Predicate | hasPrimaryPosition |
P6869
|
FINISHED |
| Object | designated hitter |
—
|
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: designated hitter | Statement: [Yordan Álvarez, hasPrimaryPosition, designated hitter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryPosition Context triple: [Yordan Álvarez, hasPrimaryPosition, designated hitter]
-
A.
hasPrimary
Indicates that one entity is designated as the main or most important instance (the primary) in relation to another entity.
-
B.
primaryPosition
chosen
Indicates the main role, job, or position an entity holds among potentially multiple positions.
-
C.
hasPrimaryCharacter
Indicates that an entity features another entity as its main or central character.
-
D.
hasPrimarySeat
Indicates that one entity is designated as the main or principal seat, location, or position associated with another entity.
-
E.
hasPrimaryDuty
Indicates that one entity holds the main or most important responsibility or obligation toward another entity or within a specified context.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e23b8948190870d0e6b4e55b4e3 |
completed | April 19, 2026, 1:21 a.m. |
| PD | Predicate disambiguation | batch_69e3832553ac819091aa917c84f755b6 |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:39 a.m.