Triple
T38237748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edouard Mendy |
E1013669
|
entity |
| Predicate | transferToChelseaDate |
P153246
|
FINISHED |
| Object | 2020-09 |
—
|
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: 2020-09 | Statement: [Edouard Mendy, transferToChelseaDate, 2020-09]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transferToChelseaDate Context triple: [Edouard Mendy, transferToChelseaDate, 2020-09]
-
A.
joinedChelsea
Indicates that an entity became a member of, or signed to play/work for, Chelsea.
-
B.
dateOfTransfer
chosen
Indicates the specific date on which a transfer of something (such as ownership, rights, or funds) from one party to another takes place.
-
C.
hasTransferWindow
Indicates that there is a defined time period during which a transfer or movement between entities is allowed or can occur.
-
D.
clubDebutForChelseaYear
Indicates the year in which an entity made its first official club appearance for Chelsea.
-
E.
transferredToTurin
Indicates that something or someone was moved or reassigned from another place to the city of Turin.
- 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_69f76dd72a248190a5fe18db2bd1eb15 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fff59a00a881909b35b799654b3c45 |
completed | May 10, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69fff4d0a2e081909c972189b33d0128 |
completed | May 10, 2026, 3 a.m. |
Created at: May 3, 2026, 4:30 p.m.