Triple
T15457236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanneli Goslar |
E371800
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Walter Pick |
E375124
|
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: Walter Pick | Statement: [Hanneli Goslar, spouse, Walter Pick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Pick Context triple: [Hanneli Goslar, spouse, Walter Pick]
-
A.
Walter Pick
chosen
Walter Pick was the husband of Holocaust survivor Hannah Goslar, who was known for her close childhood friendship with Anne Frank.
-
B.
Walter Buch
Walter Buch was a high-ranking Nazi official who served as the chief judge of the Nazi Party’s Supreme Court and played a key role in enforcing party discipline.
-
C.
Walter Schwab
Walter Schwab is a person notable enough to be recognized as a significant bearer of the surname Schwab.
-
D.
Walter Herz
Walter Herz was a graphic artist best known for designing the official poster for the 1948 Summer Olympics in London.
-
E.
Walter Scharf
Walter Scharf was an American composer, arranger, and conductor best known for his prolific work in film and television scores during the mid-20th century.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f146a2c8190882741af3ec15268 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21b7b600819081a6087bd6309237 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:31 a.m.