Triple
T11775720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pizarro |
E280012
|
entity |
| Predicate | librettistOfWork |
P59320
|
FINISHED |
| Object | Joseph Sonnleithner |
E329028
|
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: Joseph Sonnleithner | Statement: [Pizarro, librettistOfWork, Joseph Sonnleithner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Sonnleithner Context triple: [Pizarro, librettistOfWork, Joseph Sonnleithner]
-
A.
Joseph Sonnleithner
chosen
Joseph Sonnleithner was an Austrian librettist, lawyer, and cultural figure best known for writing the original libretto for Beethoven’s opera "Fidelio."
-
B.
Johann Rattenhuber
Johann Rattenhuber was a high-ranking Nazi official best known as the head of Adolf Hitler’s personal security service, the Reichssicherheitsdienst (RSD).
-
C.
Christian Breslauer
Christian Breslauer is a contemporary music video director known for his cinematic, high-concept visuals for major pop and hip-hop artists.
-
D.
Peter Riedler
Peter Riedler is an Austrian academic and university administrator who serves as rector of the University of Graz.
-
E.
Harald Kainz
Harald Kainz is an Austrian civil engineer and academic who has served as a leading figure in higher education, notably heading Graz University of Technology.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a55f415081908eec78cb2c956598 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65e92f1808190a338d8406d651611 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 8, 2026, 9:42 p.m.