Triple
T10735850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolken |
E253193
|
entity |
| Predicate | hasTitleInOriginalLanguage |
P13516
|
FINISHED |
| Object | Wolken |
E253193
|
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: Wolken | Statement: [Wolken, hasTitleInOriginalLanguage, Wolken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolken Context triple: [Wolken, hasTitleInOriginalLanguage, Wolken]
-
A.
Wolken
chosen
Wolken is a philosophical work by the 18th-century German thinker Johann Georg Hamann, reflecting his characteristically critical and religiously grounded response to Enlightenment rationalism.
-
B.
Wolken.Heim
Wolken.Heim is an experimental, collage-like play by Elfriede Jelinek that critically explores themes of nationalism, identity, and language through fragmented texts and voices.
-
C.
Clouds
"Clouds" is a 2020 biographical musical drama film about teenage musician Zach Sobiech, known for its emotional storytelling and popular title song.
-
D.
Clouds
"Clouds" is a stage play by British playwright Michael Frayn, known for its witty exploration of human relationships and social dynamics.
-
E.
Clouds
Clouds is a musical act known for performing at venues such as The Gallery.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71021cccc8190ba2d3bbd7d50e2a7 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22cc4edc8190a7ab45e57ed94c47 |
completed | April 14, 2026, 11:19 a.m. |
Created at: April 8, 2026, 9:14 p.m.