Triple
T2014561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kilchberg Cemetery |
E43764
|
entity |
| Predicate | hasGraveOf |
P196
|
FINISHED |
| Object | Nelly Mann |
E235121
|
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: Nelly Mann | Statement: [Kilchberg Cemetery, hasGraveOf, Nelly Mann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nelly Mann Context triple: [Kilchberg Cemetery, hasGraveOf, Nelly Mann]
-
A.
Nelly Mann
chosen
Nelly Mann was the wife of German writer Heinrich Mann and sister-in-law of Nobel Prize–winning author Thomas Mann.
-
B.
Anita Gütermann
Anita Gütermann was a German heiress from the Gütermann industrial family who became known as the first wife of renowned conductor Herbert von Karajan.
-
C.
Nena von Schlebrügge
Nena von Schlebrügge is a Swedish-born former fashion model of German and Swedish descent who worked internationally in the 1950s and 1960s and is the mother of actress Uma Thurman.
-
D.
Dora Maurer
Dora Maurer is a Hungarian conceptual artist and filmmaker known for her experimental works exploring perception, movement, and systems-based processes.
-
E.
Alma Wassermann
Alma Wassermann was the wife of Nobel Prize–winning Yiddish author Isaac Bashevis Singer and a significant partner in his personal and literary life.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8b610a88190bc10fd7dda19da08 |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5179b3348190bfec5530baf4ca86 |
completed | March 9, 2026, 4:50 a.m. |
Created at: March 4, 2026, 7:37 p.m.