Triple
T22379589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scoob! |
E553235
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Adam Sztykiel |
—
|
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: Adam Sztykiel | Statement: [Scoob!, screenwriter, Adam Sztykiel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam Sztykiel Context triple: [Scoob!, screenwriter, Adam Sztykiel]
-
A.
Adam Sztykiel
chosen
Adam Sztykiel is an American screenwriter and producer known for his work on comedy films and major studio projects, including contributions to superhero and family-oriented movies.
-
B.
Michał Rozenfeld
Michał Rozenfeld was a Jewish resistance fighter and prominent member of the Warsaw Ghetto underground during World War II.
-
C.
Dawid Szymin
Dawid Szymin, better known as David Seymour, was a renowned Polish-born photojournalist and co-founder of the Magnum Photos agency.
-
D.
Lewin Kłodzki
Lewin Kłodzki is a small town in southwestern Poland, located in the Kłodzko Valley near the Czech border.
-
E.
Henryk Warszawski
Henryk Warszawski, better known as Henry Vars, was a Polish-American composer renowned for his popular songs and film music in pre-war Poland and later in Hollywood.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582afe6c819093940f9d817c64a8 |
completed | April 29, 2026, 1 a.m. |
Created at: April 16, 2026, 8:45 p.m.