Triple
T38057232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Tuchel |
E950236
|
entity |
| Predicate | managedBorussiaDortmundFrom |
P75796
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Thomas Tuchel, managedBorussiaDortmundFrom, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: managedBorussiaDortmundFrom Context triple: [Thomas Tuchel, managedBorussiaDortmundFrom, 2015]
-
A.
clubNumberAtBorussiaDortmund
Indicates the jersey number an individual wears or wore while playing for Borussia Dortmund.
-
B.
BorussiaMönchengladbachCaptain
Indicates that the specified person is the captain of the Borussia Mönchengladbach football team.
-
C.
BorussiaMönchengladbachManager
Indicates that one entity is the manager (head coach) of the football club Borussia Mönchengladbach.
-
D.
BorussiaDortmundCoach
chosen
Indicates that a person holds or has held the position of head coach/manager of the football club Borussia Dortmund.
-
E.
wonBundesligaWith
Indicates that one entity achieved victory in the Bundesliga while being associated with (e.g., playing for or coaching) the other entity.
- 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_69f76f01e63c819093b6012fc974f35a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd553d7cb881908d243e7a9f30ac85 |
completed | May 8, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fd514dcb1c81908333c70d7edd79c9 |
completed | May 8, 2026, 2:58 a.m. |
Created at: May 3, 2026, 4:21 p.m.