Triple
T17246057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yordan Álvarez |
E418626
|
entity |
| Predicate | hasSecondaryPosition |
P6870
|
FINISHED |
| Object | left fielder |
—
|
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: left fielder | Statement: [Yordan Álvarez, hasSecondaryPosition, left fielder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondaryPosition Context triple: [Yordan Álvarez, hasSecondaryPosition, left fielder]
-
A.
hasSecondary
Indicates that an entity is associated with an additional or subordinate counterpart beyond its primary one.
-
B.
secondaryPosition
chosen
Indicates that an entity holds an additional, non-primary role, location, or status alongside its main one.
-
C.
hasSecondaryBase
Indicates that an entity possesses or is associated with a secondary or additional base, distinct from its primary base.
-
D.
hasSecond
Indicates that one entity is the second item, position, or element in an ordered sequence or pair relative to another entity.
-
E.
hasSecondaryMirrorPosition
Indicates the spatial placement or configuration of a secondary mirror relative to the primary optical system.
- 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.