Triple
T17946696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maja Einstein |
E448720
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Maja |
—
|
NE NERFINISHED |
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: Maja | Statement: [Maja Einstein, nickname, Maja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maja Context triple: [Maja Einstein, nickname, Maja]
-
A.
Maja
chosen
Maja was the younger sister of physicist Albert Einstein, known for her close relationship with him and her background in literature and languages.
-
B.
Maloja
Maloja is a small Swiss mountain village and pass in the Upper Engadine region of the canton of Graubünden, known for its scenic alpine landscapes and access to nearby lakes and hiking trails.
-
C.
Marga
Marga is a feminine given name, commonly used as a short or diminutive form of names like Margarita or Margareta.
-
D.
Majkin
Majkin is a small settlement located on Namu Atoll in the Marshall Islands, likely serving as one of the atoll’s primary residential communities.
-
E.
Hajna
Hajna is a feminine given name, notably borne by American actress and producer Hajna O. Moss.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad99df408190a8a4e3d21c03fe71 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 10:21 a.m.