Triple
T25290366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josef Alexander Martínez Mencia |
E634064
|
entity |
| Predicate | hasPositionStyle |
P1609
|
FINISHED |
| Object | central striker |
—
|
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: central striker | Statement: [Josef Alexander Martínez Mencia, hasPositionStyle, central striker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPositionStyle Context triple: [Josef Alexander Martínez Mencia, hasPositionStyle, central striker]
-
A.
hasPositioning
Indicates that one entity occupies, is arranged in, or is assigned a specific spatial or relative position with respect to another entity or reference frame.
-
B.
hasStyle
chosen
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
-
C.
stylePositioning
Indicates how an entity is spatially or visually arranged or aligned relative to a reference frame or other elements.
-
D.
positionStyle
Indicates how an entity is positioned or arranged relative to a reference frame, layout, or context.
-
E.
isPositionedAs
Indicates that one entity is placed or arranged in a specific spatial or conceptual position relative to another.
- 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_69e75a9503d48190b80a005c6af0cb50 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 21, 2026, 1:21 p.m.