Triple
T19048927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juergen Teller |
E466207
|
entity |
| Predicate | hasWorkedFor |
P11675
|
FINISHED |
| Object | Helmut Lang |
—
|
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: Helmut Lang | Statement: [Juergen Teller, hasWorkedFor, Helmut Lang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helmut Lang Context triple: [Juergen Teller, hasWorkedFor, Helmut Lang]
-
A.
Helmut Lang
chosen
Helmut Lang is an influential Austrian fashion label known for its minimalist, deconstructed designs that helped define 1990s and early-2000s contemporary fashion.
-
B.
Karl Lagerfeld
Karl Lagerfeld was a renowned German fashion designer, best known as the longtime creative director of Chanel and a major figure in luxury fashion.
-
C.
Christian Lacroix
Christian Lacroix is a renowned French fashion designer celebrated for his opulent, theatrical couture and bold use of color and pattern.
-
D.
Fritz Fend
Fritz Fend was a German engineer and inventor best known for creating innovative postwar microcars and three-wheeled vehicles, including the iconic Messerschmitt Kabinenroller.
-
E.
Oliver Berben
Oliver Berben is a German film and television producer known for his work on numerous high-profile projects, including international series such as the 2022 adaptation of Resident Evil.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d8062ea481908cf3fcb790a74956 |
completed | April 20, 2026, 7:38 a.m. |
Created at: April 10, 2026, 12:03 p.m.