Triple
T7012530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackie Milburn |
E162615
|
entity |
| Predicate | numberOfFACupWinsWithClub |
P73656
|
FINISHED |
| Object | Newcastle United F.C. – 3 |
—
|
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: Newcastle United F.C. – 3 | Statement: [Jackie Milburn, numberOfFACupWinsWithClub, Newcastle United F.C. – 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFACupWinsWithClub Context triple: [Jackie Milburn, numberOfFACupWinsWithClub, Newcastle United F.C. – 3]
-
A.
faCupsWonWithManchesterUnited
Indicates the number of FA Cup titles an entity has won while playing for or managing Manchester United.
-
B.
wonLeagueCup
Indicates that a team or competitor achieved victory in a specific league cup competition or tournament.
-
C.
FACupTitlesWithArsenal
Indicates the number of FA Cup titles associated with Arsenal in relation to another entity or context.
-
D.
numberOfTropheeDesChampionsTitles
Indicates the number of Trophée des Champions titles that an entity has won.
-
E.
LeagueCupTitles
Indicates the number of league cup championships an entity has won.
- F. None of above. chosen
Provenance (4 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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc58b04c8190af4913dbaf43c3d4 |
completed | March 27, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c790288190b7cbbaa4a5f9c91d |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8a4930081908f1ae1e6ca8a514c |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:34 p.m.