Triple
T3067145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Stoppard |
E62129
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Leopoldstadt |
E276789
|
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: Leopoldstadt | Statement: [Tom Stoppard, wrote, Leopoldstadt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leopoldstadt Context triple: [Tom Stoppard, wrote, Leopoldstadt]
-
A.
Leopoldstadt
chosen
Leopoldstadt is Vienna’s second municipal district, known for encompassing the Prater park and its historic Jewish quarter.
-
B.
The Shtetl
The Shtetl is a work by Yiddish writer Sholem Asch that vividly portrays the life, culture, and struggles of Eastern European Jewish small-town communities.
-
C.
Tales from the Vienna Woods
Tales from the Vienna Woods is a famous waltz by Johann Strauss II that evokes the charm and atmosphere of the Viennese countryside.
-
D.
Het Hogeland
Het Hogeland is a coastal municipality in the northern Netherlands known for its open landscapes, historic villages, and Wadden Sea shoreline.
-
E.
Goodbye to Berlin
Goodbye to Berlin is a semi-autobiographical novel by Christopher Isherwood that portrays the lives of diverse characters in pre-World War II Berlin and later inspired the musical Cabaret.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0fea06881909e5251eea26599ac |
completed | March 8, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f87bec6c8190ae928fc7c4467859 |
completed | March 11, 2026, 11:19 p.m. |
Created at: March 8, 2026, 3:02 p.m.