Triple
T8147730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hansi Flick |
E190255
|
entity |
| Predicate | endTimeAsManagerOfBayernMunich |
P39992
|
FINISHED |
| Object | 2021-06 |
—
|
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: 2021-06 | Statement: [Hansi Flick, endTimeAsManagerOfBayernMunich, 2021-06]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeAsManagerOfBayernMunich Context triple: [Hansi Flick, endTimeAsManagerOfBayernMunich, 2021-06]
-
A.
BayernMunichCaptain
Indicates that the subject serves as the team captain of Bayern Munich.
-
B.
BayernMunichCoach
Indicates that one entity serves as the head coach/manager of the Bayern Munich football team.
-
C.
finalSeasonAsManager
chosen
Indicates the specific season that marks the last one in which an individual serves in the role of manager.
-
D.
wonBundesligaWith
Indicates that one entity achieved victory in the Bundesliga while being associated with (e.g., playing for or coaching) the other entity.
-
E.
bayerLeverkusenCoach
Indicates that one entity serves as the head coach/manager of the Bayer Leverkusen football club.
- 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb447e74e081908df774edb2134209 |
completed | March 31, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69cb36a0847c8190af9038aef78319b3 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:36 p.m.