Triple
T5514163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 54th Academy Awards |
E144639
|
entity |
| Predicate | bestForeignLanguageFilmWinner |
P12415
|
FINISHED |
| Object | Mephisto |
E226875
|
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: Mephisto | Statement: [54th Academy Awards, bestForeignLanguageFilmWinner, Mephisto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mephisto Context triple: [54th Academy Awards, bestForeignLanguageFilmWinner, Mephisto]
-
A.
Mephisto
chosen
Mephisto is a 1936 novel by Klaus Mann that satirically portrays an opportunistic actor’s moral corruption under Nazi Germany.
-
B.
Shatana
Shatana is a character from the Nart sagas, the traditional epic cycle of the North Caucasus peoples.
-
C.
Deabolis
Deabolis was a medieval Balkan town of strategic importance in the Byzantine–Norman conflicts, known as the site where the Treaty of Devol was concluded.
-
D.
Schmendiman
Schmendiman is a comically overconfident, dim-witted inventor in Steve Martin’s play "Picasso at the Lapin Agile," representing misguided modern ambition.
-
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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f5b4e988190b590b4157cf089c1 |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027d52b808190ada94893b043fb19 |
completed | March 22, 2026, 5:33 p.m. |
Created at: March 22, 2026, 3:33 p.m.