Triple
T14238424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert, Duke of Saxony |
E352946
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Grimma |
E185204
|
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: Grimma | Statement: [Albert, Duke of Saxony, placeOfBirth, Grimma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grimma Context triple: [Albert, Duke of Saxony, placeOfBirth, Grimma]
-
A.
Grimma
chosen
Grimma is a historic town in the Free State of Saxony in eastern Germany, known for its medieval architecture and location along the Mulde River.
-
B.
Grindel
Grindel is the birth surname of the French surrealist poet Paul Éluard.
-
C.
Gus Grimly
Gus Grimly is a conscientious and morally driven Duluth police officer in the television series "Fargo," whose fateful encounter with hitman Lorne Malvo entangles him in a web of violence and ethical dilemmas.
-
D.
Archibald the Grim
Archibald the Grim was a powerful 14th-century Scottish noble and Lord of Galloway, noted for his military prowess and prominent role in the Douglas family’s rise.
-
E.
Grimble
Grimble is a humorous children's book by Clement Freud about an eccentric young boy navigating life with unusually absent-minded parents.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62422e28819089e7115052a28c96 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd281f80548190ad489c418f27e82c |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:08 a.m.