Triple
T8458462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hela |
E199978
|
entity |
| Predicate | antagonistOf |
P18963
|
FINISHED |
| Object | Valkyrie |
E199788
|
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: Valkyrie | Statement: [Hela, antagonistOf, Valkyrie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valkyrie Context triple: [Hela, antagonistOf, Valkyrie]
-
A.
Valkyrie
chosen
Valkyrie is a fierce Asgardian warrior and member of the Valkyrior in the Marvel Cinematic Universe, known for her combat prowess, complex past, and eventual role as a key ally of Thor.
-
B.
Valkyrie (2008 film)
Valkyrie is a 2008 historical thriller film about the German officers’ plot to assassinate Adolf Hitler during World War II, starring Tom Cruise and an ensemble cast.
-
C.
Downfall
Downfall is the codename for the planned but never executed Allied invasion of the Japanese home islands near the end of World War II.
-
D.
Downfall
Downfall is a 2004 German historical war drama film depicting the final days of Adolf Hitler and the Third Reich in a besieged Berlin bunker.
-
E.
Luftbrücke
Luftbrücke is the German term for the Berlin Airlift, the Allied operation that supplied West Berlin by air during the Soviet blockade of 1948–1949.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe49064f881909391d565b97e9886 |
completed | March 31, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1dea01c481909496ebfca4e9916e |
completed | April 2, 2026, 7:42 a.m. |
Created at: March 30, 2026, 6:10 p.m.