Triple
T5033309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margareta |
E113357
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Margit |
E113357
|
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: Margit | Statement: [Margareta, relatedName, Margit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margit Context triple: [Margareta, relatedName, Margit]
-
A.
Liesl
Liesl is a feminine given name, commonly used as a diminutive of names like Elisabeth in German-speaking regions.
-
B.
Margot Wendice
Margot Wendice is the wealthy wife targeted in her husband's elaborate murder plot in Alfred Hitchcock's thriller "Dial M for Murder."
-
C.
Jacoba
Jacoba is a feminine given name of Dutch origin, historically borne by several notable women in the Netherlands and South Africa.
-
D.
Margareta
chosen
Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
-
E.
Margot
Margot is a feminine given name of French origin, often associated with Margot Frank, the elder sister of diarist Anne Frank.
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73b68d8c8190b8e04fb406abdb0f |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c71b2f081908c5c4c1d9ba1ccf4 |
completed | March 21, 2026, 1:26 p.m. |
Created at: March 20, 2026, 1:36 p.m.