Triple
T12392048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Lane |
E296016
|
entity |
| Predicate | hasResident |
P6481
|
FINISHED |
| Object | Franz Kafka |
E18045
|
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 Kafka | Statement: [Golden Lane, hasResident, Franz Kafka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franz Kafka Context triple: [Golden Lane, hasResident, Franz Kafka]
-
A.
Franz Kafka
chosen
Franz Kafka was a 20th-century Bohemian novelist and short-story writer whose surreal, existential works like "The Metamorphosis" and "The Trial" profoundly shaped modern literature.
-
B.
Gabriele Kafka
Gabriele Kafka was one of Franz Kafka’s sisters, a member of the Kafka family in early 20th-century Prague.
-
C.
Georg Kafka
Georg Kafka was a member of the Kafka family and a relative of the renowned writer Franz Kafka.
-
D.
Hermann Kafka
Hermann Kafka was a Prague businessman and the domineering father of writer Franz Kafka, whose difficult relationship with his son deeply influenced Franz's life and work.
-
E.
Ottla Kafka
Ottla Kafka was the youngest sister of writer Franz Kafka, known from his diaries and letters for their close relationship and her later persecution and death in the Holocaust.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd0bcc48190bb1a59a3aaa6bfdf |
completed | April 10, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6347c239881909a031e9e195080c9 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:54 p.m.