Triple
T7869880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaun Wright-Phillips |
E182710
|
entity |
| Predicate | transferYearToChelsea |
P67638
|
FINISHED |
| Object | 2005 |
—
|
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: 2005 | Statement: [Shaun Wright-Phillips, transferYearToChelsea, 2005]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transferYearToChelsea Context triple: [Shaun Wright-Phillips, transferYearToChelsea, 2005]
-
A.
clubDebutForChelseaYear
Indicates the year in which an entity made its first official club appearance for Chelsea.
-
B.
movedToClub
chosen
Indicates that an entity has transferred or changed affiliation from one club to another club.
-
C.
transferLine
Indicates a relationship where something is moved or conveyed from one point, medium, or entity to another along a defined path or channel.
-
D.
transferredToTurin
Indicates that something or someone was moved or reassigned from another place to the city of Turin.
-
E.
movedToLeague
Indicates that an entity changed affiliation or membership from one league 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb384a285881908a5b2de278f9556f |
completed | March 31, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69cae925ca388190ae4a01fa76e957e8 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:55 p.m.