Triple
T19992508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emil Kraepelin |
E494098
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Emil |
—
|
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: Emil | Statement: [Emil Kraepelin, givenName, Emil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emil Context triple: [Emil Kraepelin, givenName, Emil]
-
A.
Emil
Emil is the given name of Carl Gustaf Emil Mannerheim, the renowned Finnish military leader and statesman who served as President of Finland.
-
B.
Emil
Emil is a given name notably borne by Emile Berliner, the German-American inventor best known for developing the gramophone and flat disc record.
-
C.
Emil
chosen
Emil is a masculine given name used in various European languages, often associated with Latin and Germanic origins.
-
D.
Emil
Emil is a fictional character from Louisa May Alcott's novel "Jo's Boys," where he appears as one of the next generation of Plumfield children whose adult lives and adventures are followed.
-
E.
Emil
Emil is a central character in the film "The Immigrant," whose experiences embody the struggles and hopes of newcomers seeking a better life in a foreign land.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe10ffc81908c94168b0a8ea9c9 |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:31 p.m.