Triple
T23750407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henning Berg |
E586946
|
entity |
| Predicate | trophiesWonWithManchesterUnited |
P153546
|
FINISHED |
| Object | Premier League |
—
|
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: Premier League | Statement: [Henning Berg, trophiesWonWithManchesterUnited, Premier League]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trophiesWonWithManchesterUnited Context triple: [Henning Berg, trophiesWonWithManchesterUnited, Premier League]
-
A.
majorTrophiesWithManchesterUnited
Indicates that the subject has won major football trophies while playing for or managing Manchester United.
-
B.
leagueTitlesWonWithManchesterUnited
Indicates the number of league titles an entity has won while playing for or managing Manchester United.
-
C.
communityShieldsWonWithManchesterUnited
Indicates the number of Community Shield titles an entity has won while playing for or managing Manchester United.
-
D.
faCupsWonWithManchesterUnited
Indicates the number of FA Cup titles an entity has won while playing for or managing Manchester United.
-
E.
trophyWonWithArsenal
Indicates that a trophy was won by a person or team while they were with Arsenal Football Club.
- 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_69e2490a0eec81908cdef8a862828d7a |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bcc1d4e8819099d3b4136f28f0c6 |
completed | April 29, 2026, 8:09 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15adb23d88190ac2632299c26a9b3 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 17, 2026, 7:13 p.m.