Triple
T21490319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Jon |
E530218
|
entity |
| Predicate | cinematography |
P1953
|
FINISHED |
| Object | Thomas Kloss |
—
|
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: Thomas Kloss | Statement: [Don Jon, cinematography, Thomas Kloss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Kloss Context triple: [Don Jon, cinematography, Thomas Kloss]
-
A.
Thomas Kloss
chosen
Thomas Kloss is a cinematographer known for his work on feature films and music-related projects, including the concert film "Never Say Never."
-
B.
Martin Klotz
Martin Klotz was an Austrian mountaineer known for being one of the first climbers to reach the summit of the Grossglockner, Austria’s highest peak.
-
C.
Nigel Glockler
Nigel Glockler is an English drummer best known for his long-standing role in the heavy metal band Saxon.
-
D.
Richard Lohse
Richard Lohse was a Swiss painter and graphic designer known for his influential role in concrete art and systematic, geometric abstraction in the 20th century.
-
E.
Michael Schoeffling
Michael Schoeffling is an American former actor and model best known for his role as Jake Ryan in the 1984 film "Sixteen Candles."
- 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea3aee648190ba845f0c7d8110dd |
completed | April 23, 2026, 9:45 a.m. |
Created at: April 16, 2026, 6:22 p.m.