Triple
T17645809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Firefox (1982 film) |
E429354
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Stefan Schnabel |
—
|
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: Stefan Schnabel | Statement: [Firefox (1982 film), starring, Stefan Schnabel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stefan Schnabel Context triple: [Firefox (1982 film), starring, Stefan Schnabel]
-
A.
Stefan Schnabel
chosen
Stefan Schnabel was a German-American actor best known for his long-running role as Dr. Stephen Jackson on the soap opera "The Guiding Light."
-
B.
Marco Schnabel
Marco Schnabel is an American screenwriter and film director known for his work on adventure and comedy films.
-
C.
Stefan Richter
Stefan Richter is a relatively common German personal name shared by multiple individuals across fields such as sports, science, and the arts.
-
D.
Claus Wehlisch
Claus Wehlisch is a film editor known for his work on feature films, including the romantic comedy-drama "Love, Rosie."
-
E.
Stefan Metzger
Stefan Metzger is a notable individual recognized as a prominent bearer of the Metzger surname.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e382ba88190af19d0e3b8c8cadd |
completed | April 19, 2026, 5:55 a.m. |
Created at: April 10, 2026, 6:04 a.m.