Triple
T21913218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miami Fusion |
E541115
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object | Preki |
—
|
NE NERFINISHED |
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: Preki | Statement: [Miami Fusion, notablePlayer, Preki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Preki Context triple: [Miami Fusion, notablePlayer, Preki]
-
A.
Preki
chosen
Preki is a former Yugoslav-American professional soccer player and coach best known for his standout MLS career and successful transition into coaching.
-
B.
Pris
Pris is a diminutive form of the given name Priscilla, often used as a familiar or affectionate nickname.
-
C.
Tavarede
Tavarede is a civil parish within the municipality of Figueira da Foz in central Portugal, known for its residential character and local cultural traditions.
-
D.
Pirekua
Pirekua is a traditional lyrical song genre of the Purépecha people of Mexico, known for its slow, melodic style and cultural significance in expressing community identity and history.
-
E.
Prystaiko
Prystaiko is the surname of Vadym Prystaiko, a Ukrainian diplomat and former Minister of Foreign Affairs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123359e1c8190a606a92c5bcb58e8 |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 16, 2026, 7:41 p.m.