Triple
T9405994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gustaf Gründgens |
E226588
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object | Mephistopheles |
E592891
|
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: Mephistopheles | Statement: [Gustaf Gründgens, notableRole, Mephistopheles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mephistopheles Context triple: [Gustaf Gründgens, notableRole, Mephistopheles]
-
A.
Méphistophélès
chosen
Méphistophélès is a demonic figure from the Faust legend, typically portrayed as the cunning tempter who bargains for human souls.
-
B.
Mephisto
Mephisto is a 1936 novel by Klaus Mann that satirically portrays an opportunistic actor’s moral corruption under Nazi Germany.
-
C.
Wagner (Faustus’s servant)
Wagner is a minor character in the Faust legend, typically portrayed as Doctor Faustus’s loyal but somewhat comical servant and assistant.
-
D.
Satan
Satan is a central demonic figure and primary antagonist in the manga and anime series Blue Exorcist, portrayed as the powerful king of demons and the source of the protagonist’s conflict.
-
E.
Šatan
Šatan is a Slovak surname most famously borne by Miroslav Šatan, a prominent former professional ice hockey player and national team star.
- 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51c2b9bc81909a4ce91792294d1c |
completed | April 1, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1079bd644819081f9c8f25ff1c532 |
completed | April 4, 2026, 12:44 p.m. |
Created at: March 30, 2026, 7:47 p.m.