Triple
T10333493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erwin Schrödinger |
E242936
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Annemarie Bertel |
E242936
|
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: Annemarie Bertel | Statement: [Erwin Schrödinger, spouse, Annemarie Bertel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annemarie Bertel Context triple: [Erwin Schrödinger, spouse, Annemarie Bertel]
-
A.
Annemarie Bertel
chosen
Annemarie Bertel was the wife of Austrian physicist and Nobel laureate Erwin Schrödinger.
-
B.
Ilse Steppat
Ilse Steppat was a German actress best known internationally for playing the villainous Irma Bunt in the James Bond film "On Her Majesty's Secret Service."
-
C.
Dagmar Berghoff
Dagmar Berghoff is a prominent German television and radio presenter best known as one of the first and most recognizable news anchors for the ARD Tagesschau.
-
D.
Ursula Paetsch
Ursula Paetsch was the wife of German chess grandmaster Erich Hartmann.
-
E.
Meret Becker
Meret Becker is a German actress and singer known for her versatile performances in film, television, and theater.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4dfc366b481909c49f199892e9d42 |
completed | April 7, 2026, 10:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d794fe4fe481908e4c343ceeb5de25 |
completed | April 9, 2026, 12:01 p.m. |
Created at: April 6, 2026, 11:53 a.m.