Triple
T1558249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amalie Noether |
E33258
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Amalie |
E33258
|
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: Amalie | Statement: [Amalie Noether, givenName, Amalie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amalie Context triple: [Amalie Noether, givenName, Amalie]
-
A.
Amalie
chosen
Amalie is the given first name of the pioneering German mathematician Emmy Noether, renowned for her foundational contributions to abstract algebra and theoretical physics.
-
B.
Amalia
Amalia is the Dutch crown princess, heir apparent to the throne of the Kingdom of the Netherlands.
-
C.
Dagmar
Dagmar is a feminine given name of Germanic origin, historically associated with European nobility and still used in various countries today.
-
D.
Amalie Rohe
Amalie Rohe was the mother of renowned modernist architect Ludwig Mies van der Rohe.
-
E.
Marie
Marie is a widely used European given name, especially common in French-speaking countries, derived from the Hebrew name Miryam (Mary).
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9088355048190adad5ea2bb558d13 |
completed | March 5, 2026, 4:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad719b6c988190a525539d1a29d8d4 |
completed | March 8, 2026, 12:54 p.m. |
Created at: March 4, 2026, 7:27 p.m.