Triple
T11318007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Do You Love Me? |
E268014
|
entity |
| Predicate | settingInFiction |
P18263
|
FINISHED |
| Object | Anatevka |
E268006
|
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: Anatevka | Statement: [Do You Love Me?, settingInFiction, Anatevka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anatevka Context triple: [Do You Love Me?, settingInFiction, Anatevka]
-
A.
Anatevka
chosen
Anatevka is the fictional Jewish shtetl that serves as the central village backdrop for the musical and film "Fiddler on the Roof."
-
B.
Horodok
Horodok is a small town in western Ukraine known for its historical roots and location within the Khmelnytskyi region.
-
C.
Kingisepp
Kingisepp is a town in northwestern Russia near the Estonian border, known for its industrial base and historical roots dating back to the 14th century.
-
D.
Mirgorod
Mirgorod is a collection of short stories by Russian-Ukrainian writer Nikolai Gogol, known for its blend of folklore, satire, and psychological insight into provincial life.
-
E.
Zikhron Ya’akov
Zikhron Ya’akov is a historic town in northern Israel known for its early Zionist agricultural settlement, wineries, and scenic location overlooking the Mediterranean.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c3cf748190987838029d9f7fff |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5563dc9c881908d17a061e6071d2c |
completed | April 19, 2026, 10:25 p.m. |
Created at: April 8, 2026, 9:32 p.m.