Triple
T14173694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mortdecai |
E351276
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Florian Hoffmeister |
E731143
|
NE 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: Florian Hoffmeister | Statement: [Mortdecai, cinematographyBy, Florian Hoffmeister]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Florian Hoffmeister Context triple: [Mortdecai, cinematographyBy, Florian Hoffmeister]
-
A.
Florian Hoffmeister
chosen
Florian Hoffmeister is a German cinematographer known for his atmospheric, meticulously composed visual style in both film and television, including acclaimed work on projects like "Tár."
-
B.
Florian Schönharting
Florian Schönharting is a Danish biotech entrepreneur and investor best known for co-founding the antibody therapeutics company Genmab.
-
C.
Florian Krebsbach
Florian Krebsbach is a fictional resident of Garrison Keillor’s mythical Minnesota town of Lake Wobegon, featured in his humorous stories and novels.
-
D.
Florian Klaempfl
Florian Klaempfl is a software developer best known as the original creator and lead architect of the Free Pascal compiler.
-
E.
Markus Knüfken
Markus Knüfken is a German actor known for his roles in film and television since the 1990s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b7cc3081909f4fa371e1eae130 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf80a9b34819081c4ebf7429e875a |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 1:01 a.m.