Triple
T21712239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Schnitzler |
E535933
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Anatol |
—
|
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: Anatol | Statement: [Arthur Schnitzler, notableWork, Anatol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anatol Context triple: [Arthur Schnitzler, notableWork, Anatol]
-
A.
Anatol
chosen
Anatol is a 1893 cycle of short plays by Arthur Schnitzler that portrays the romantic entanglements and psychological nuances of a charming yet fickle Viennese bachelor.
-
B.
Anatolii
Anatolii is a masculine given name, commonly used in Slavic countries as a variant of the name Anatoly.
-
C.
Anatoli
Anatoli is a small village in Greece that forms part of the Agia municipality in the regional unit of Larissa.
-
D.
Bory
Bory is a Hungarian surname most notably associated with Jenő Bory, a sculptor, architect, and creator of the famous Bory Castle in Székesfehérvár, Hungary.
-
E.
Yarbay
Yarbay is a mid-level field officer rank in the Turkish Armed Forces, equivalent to a lieutenant colonel in many other military organizations.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb53450108190ba1c9e3cc3a0ab89 |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:46 p.m.