Triple
T7325601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ermintrude |
E168864
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Trude |
E657718
|
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: Trude | Statement: [Ermintrude, hasShortForm, Trude]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trude Context triple: [Ermintrude, hasShortForm, Trude]
-
A.
Trudy
Trudy is the nickname of Gertrude Ederle, the American competitive swimmer who became the first woman to swim across the English Channel.
-
B.
Trudy
chosen
Trudy is a feminine given name, often used as a diminutive of names like Ermintrude or Gertrude.
-
C.
Margarete
Margarete is a female given name of Greek origin, commonly associated with the meaning "pearl" and used in various European languages.
-
D.
Tirza
Tirza is a river in Latvia that serves as one of the tributaries feeding into the larger Gauja River system.
-
E.
Elfriede
Elfriede is a feminine given name of German origin, notably borne by Austrian Nobel Prize–winning writer Elfriede Jelinek.
- 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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0a612c08190b7a3fefa811bbcec |
completed | March 27, 2026, 9:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa7bfe248190a5def09d6941e114 |
completed | March 28, 2026, 3:57 p.m. |
Created at: March 27, 2026, 3:03 p.m.