Triple
T25348378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Edward Thompson Milburn |
E635613
|
entity |
| Predicate | FAcupWinnerWith |
P158227
|
FINISHED |
| Object | Newcastle United F.C. |
—
|
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: Newcastle United F.C. | Statement: [John Edward Thompson Milburn, FAcupWinnerWith, Newcastle United F.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FAcupWinnerWith Context triple: [John Edward Thompson Milburn, FAcupWinnerWith, Newcastle United F.C.]
-
A.
cupWins
Indicates that an entity has won a specific cup or tournament competition.
-
B.
bestFAcupPerformance
Indicates the highest level or round a team has ever reached in the FA Cup competition.
-
C.
finalChampion
Indicates that an entity is the ultimate winner or last remaining champion in a competition or series of contests.
-
D.
FAcupTitles
Indicates that an entity has won a specified number of FA Cup titles.
-
E.
winningCaptain
Indicates that the subject is the captain of a team that has won a particular match, tournament, or competition.
- 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_69e75a9ac5d881909387ed766e20cd47 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f498bd7e648190855fcf9e2ee4c762 |
completed | May 1, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 21, 2026, 1:34 p.m.