Triple
T14749158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franz Gregorovius |
E346557
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Franz |
E912185
|
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: Franz | Statement: [Franz Gregorovius, hasGivenName, Franz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franz Context triple: [Franz Gregorovius, hasGivenName, Franz]
-
A.
Franz
Franz is a German-language surname of Central European origin borne by various notable individuals.
-
B.
Franz
Franz is one of the central, romantically entangled young protagonists in Jean-Luc Godard’s 1964 French New Wave film "Bande à part."
-
C.
Franz
Franz is the given name of Frank X. Leyendecker, an American illustrator known for his magazine covers and advertising art in the early 20th century.
-
D.
Franz
chosen
Franz is a masculine given name of German origin that has been borne by numerous notable figures in arts, science, and politics.
-
E.
Franz
Franz is the male lead in the ballet "Coppélia," a village youth whose infatuation with a mysterious girl leads to comic and romantic entanglements.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d2e1748190b16ede681fe52872 |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24ae3d6c819080c015ebc6bc9af0 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:30 a.m.