Triple
T19704581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilarion |
E473178
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Albrecht (character) |
—
|
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: Albrecht (character) | Statement: [Hilarion, associatedWith, Albrecht (character)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albrecht (character) Context triple: [Hilarion, associatedWith, Albrecht (character)]
-
A.
Albrecht
chosen
Albrecht is a Germanic given name, historically borne by various nobles, artists, and scholars in German-speaking Europe.
-
B.
Alfons
Alfons is the given name of Alphonse Mucha, the renowned Czech Art Nouveau painter and decorative artist.
-
C.
Smilo von Lüttwitz
Smilo von Lüttwitz was a German general who served in the Wehrmacht during World War II and later became a senior officer in the postwar Bundeswehr.
-
D.
Hans Tucher
Hans Tucher was a prominent member of the patrician Tucher family of Nuremberg, known for their influence in the city's political and economic life.
-
E.
Balthasar
Balthasar is a given name of biblical origin traditionally associated with one of the Three Wise Men in Christian tradition.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b998608190a82f23bbf77f7bd2 |
completed | April 20, 2026, 3:14 p.m. |
Created at: April 10, 2026, 1:46 p.m.