Triple
T20901144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suicide Squad: Hell to Pay |
E514668
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object | Christian Lanz |
—
|
NE NERFINISHED |
How this triple was built (3 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: Christian Lanz | Statement: [Suicide Squad: Hell to Pay, voiceActor, Christian Lanz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Lanz Context triple: [Suicide Squad: Hell to Pay, voiceActor, Christian Lanz]
-
A.
Christoph Riggenbach
Christoph Riggenbach was a Swiss architect known for designing the Kunstmuseum Basel, one of the oldest public art collections in the world.
-
B.
Sven Marnach
Sven Marnach is a software developer and Python contributor known for co-authoring PEP 636, which explains the language’s structural pattern matching feature.
-
C.
Martin Suter
Martin Suter is a Swiss author best known for his popular contemporary novels and crime fiction, including the successful "Business Class" stories and the Allmen detective series.
-
D.
Roger Wehrli
Roger Wehrli is a Hall of Fame American football cornerback best known for his standout career with the St. Louis Cardinals in the NFL during the 1970s.
-
E.
Peter Simonischek
Peter Simonischek was an acclaimed Austrian actor best known internationally for his lead role in the film "Toni Erdmann" and for his extensive work in European theater and cinema.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christian Lanz Target entity description: Christian Lanz is a voice actor known for his work in animated films, television series, and video games.
-
A.
Christoph Riggenbach
Christoph Riggenbach was a Swiss architect known for designing the Kunstmuseum Basel, one of the oldest public art collections in the world.
-
B.
Sven Marnach
Sven Marnach is a software developer and Python contributor known for co-authoring PEP 636, which explains the language’s structural pattern matching feature.
-
C.
Martin Suter
Martin Suter is a Swiss author best known for his popular contemporary novels and crime fiction, including the successful "Business Class" stories and the Allmen detective series.
-
D.
Roger Wehrli
Roger Wehrli is a Hall of Fame American football cornerback best known for his standout career with the St. Louis Cardinals in the NFL during the 1970s.
-
E.
Peter Simonischek
Peter Simonischek was an acclaimed Austrian actor best known internationally for his lead role in the film "Toni Erdmann" and for his extensive work in European theater and cinema.
- F. None of above. chosen
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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8fc5d488190b62f51c35e768d38 |
completed | April 21, 2026, 3:03 a.m. |
Created at: April 16, 2026, 12:47 p.m.