Triple
T29027599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Part III (Scenes from Goethe’s Faust) |
E737635
|
entity |
| Predicate | textSourcePart |
P9883
|
FINISHED |
| Object | Schluss-Szenen aus Faust II |
—
|
NE NERFINISHED |
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: Schluss-Szenen aus Faust II | Statement: [Part III (Scenes from Goethe’s Faust), textSourcePart, Schluss-Szenen aus Faust II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textSourcePart Context triple: [Part III (Scenes from Goethe’s Faust), textSourcePart, Schluss-Szenen aus Faust II]
-
A.
textSources
Indicates that one entity serves as a source or origin for the text content associated with another entity.
-
B.
textFragment
chosen
Indicates that one piece of text is a constituent part or segment of a larger text.
-
C.
typicalSourceText
Indicates that the related entity is a common or representative textual source from which information, examples, or data about another entity are typically drawn.
-
D.
locatedInTextualSource
Indicates that information about an entity or relation appears within, or is documented by, a specific textual source.
-
E.
source
Indicates that something originates from, is derived from, or is provided by a particular entity or location.
- F. None of above.
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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6600b2ea0819080d54e0400bd3364 |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:53 a.m.