Triple
T21712232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Schnitzler |
E535933
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Reigen |
—
|
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: Reigen | Statement: [Arthur Schnitzler, notableWork, Reigen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reigen Context triple: [Arthur Schnitzler, notableWork, Reigen]
-
A.
Reigen
chosen
Reigen is a 1900 play by Arthur Schnitzler, structured as a series of interlinked dialogues that explore sexual morality and social hypocrisy in fin-de-siècle Vienna.
-
B.
Chukagai Odori
Chukagai Odori is a prominent street in Yokohama’s Chinatown known for its dense concentration of Chinese restaurants, shops, and cultural attractions.
-
C.
Kudanshita
Kudanshita is a district and major subway station area in central Tokyo known for its proximity to the Imperial Palace, Yasukuni Shrine, and several universities and office buildings.
-
D.
Rani no Hajiro
Rani no Hajiro is a historic royal burial complex in Ahmedabad, India, known for its intricately carved tombs of the queens of the Mughal-era rulers.
-
E.
Takadanobaba
Takadanobaba is a lively Tokyo neighborhood known for its student population, affordable eateries, and strong connections to nearby universities like Waseda.
- 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.