Triple
T2651358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Man in the High Castle |
E53905
|
entity |
| Predicate | openingTheme |
P2759
|
FINISHED |
| Object | Edelweiss |
E66295
|
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: Edelweiss | Statement: [The Man in the High Castle, openingTheme, Edelweiss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edelweiss Context triple: [The Man in the High Castle, openingTheme, Edelweiss]
-
A.
Edelweiss
chosen
"Edelweiss" is a gentle, nostalgic song from the musical *The Sound of Music*, widely recognized as one of Richard Rodgers and Oscar Hammerstein II’s most beloved compositions.
-
B.
Snowdrop
Snowdrop is a Mersey Ferry passenger vessel that operates on the River Mersey, carrying commuters and tourists between Liverpool and the Wirral.
-
C.
Blue Mountain
Blue Mountain is a prominent ridge of the Appalachian Mountains in eastern Pennsylvania, forming a major natural barrier and scenic landmark across the region.
-
D.
Snowdrops
Snowdrops is an informal nickname for members of the Royal Air Force Police in the United Kingdom.
-
E.
Ourique
Ourique is a rural municipality in Portugal’s Alentejo region, known for its historical links to the legendary Battle of Ourique and its traditional agricultural landscape.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd93071248190820197936e3167f7 |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98ce81fc8190b7c6c66acfcb87c7 |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:53 p.m.