Triple
T14695157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liesl von Trapp |
E345135
|
entity |
| Predicate | singsWith |
P112239
|
FINISHED |
| Object | Rolf Gruber |
E333803
|
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: Rolf Gruber | Statement: [Liesl von Trapp, singsWith, Rolf Gruber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rolf Gruber Context triple: [Liesl von Trapp, singsWith, Rolf Gruber]
-
A.
Rolf Gruber
chosen
Rolf Gruber is a young Austrian telegram delivery boy and Nazi sympathizer who courts Liesl von Trapp in the musical and film "The Sound of Music."
-
B.
Gotthard Graubner
Gotthard Graubner was a German painter renowned for his abstract color-space works that explored the materiality and depth of color.
-
C.
Reinhold Mitterlehner
Reinhold Mitterlehner is an Austrian politician of the Austrian People's Party (ÖVP) who served as Austria's vice chancellor and minister of science, research and economy.
-
D.
Helmut Qualtinger
Helmut Qualtinger was an Austrian actor, writer, and cabaret performer known for his satirical work and distinctive character roles in film and theater.
-
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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb58855e081908b38f9515db5677f |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf08274ac8190b5ba0752d36a690b |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:28 a.m.