Triple
T14307295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georg von Trapp |
E354730
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Johanna von Trapp |
E1087313
|
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: Johanna von Trapp | Statement: [Georg von Trapp, child, Johanna von Trapp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johanna von Trapp Context triple: [Georg von Trapp, child, Johanna von Trapp]
-
A.
Johanna von Trapp
chosen
Johanna von Trapp was one of the children in the real-life Trapp family whose story inspired "The Sound of Music."
-
B.
Marta von Trapp
Marta von Trapp was one of the younger daughters in the real-life Austrian Trapp family, whose story inspired "The Sound of Music."
-
C.
Rosmarie von Trapp
Rosmarie von Trapp was one of the elder children of the famous Trapp Family Singers, whose story inspired "The Sound of Music."
-
D.
Agathe von Trapp
Agathe von Trapp was the eldest daughter of the real-life von Trapp family whose story inspired "The Sound of Music," and later became known as a singer and memoirist.
-
E.
Gretl von Trapp
Gretl von Trapp is the youngest daughter of the real-life Austrian Trapp family, whose story inspired the musical and film "The Sound of Music."
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b156b0819083f2bd319deed1b6 |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff36455f788190a63507ecda42b04c |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 1:12 a.m.