Triple
T27770676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ottmar Hitzfeld |
E701734
|
entity |
| Predicate | hasWonDomesticDoubleAsManager |
P105273
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Ottmar Hitzfeld, hasWonDomesticDoubleAsManager, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonDomesticDoubleAsManager Context triple: [Ottmar Hitzfeld, hasWonDomesticDoubleAsManager, yes]
-
A.
hasWonDomesticCupsAsManager
Indicates that a person, in their role as a manager, has achieved victories in domestic cup competitions.
-
B.
wonDomesticDouble
chosen
Indicates that an entity has won both the top domestic league and the primary domestic cup competition within the same season.
-
C.
domesticSupercupWonAsManager
Indicates that the person has won a domestic super cup competition in the role of a team manager.
-
D.
wonAsManager
Indicates that one entity achieved a victory or title while serving in the role of manager of the other entity.
-
E.
trebleWinnerAsManager
Indicates that the subject, in their role as a manager, has led a team to win three major trophies (typically league, main domestic cup, and primary continental competition) in a single season.
- 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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: April 27, 2026, 4:34 p.m.