Triple
T7286550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grete Hermann |
E163883
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Grete |
E163883
|
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: Grete | Statement: [Grete Hermann, givenName, Grete]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grete Context triple: [Grete Hermann, givenName, Grete]
-
A.
Grete
chosen
Grete is the given name of Grete Hermann, a German mathematician and philosopher known for her pioneering work in the foundations of quantum mechanics and computer algebra.
-
B.
Margarete
Margarete is a female given name of Greek origin, commonly associated with the meaning "pearl" and used in various European languages.
-
C.
Gretel
Gretel is a German feminine given name best known from the fairy tale "Hansel and Gretel," where it is used as the name of the young girl protagonist.
-
D.
Ottilia
Ottilia is a feminine given name of Germanic origin, related to Otto and typically interpreted to mean "wealth" or "prosperity."
-
E.
Birgitte
Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb532adc8190bcbbf31bb54383fb |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db42c8d48190a548c4242b07fb40 |
completed | March 28, 2026, 1:44 p.m. |
Created at: March 27, 2026, 2:59 p.m.