Triple
T13765135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucille Watson |
E330719
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Watch on the Rhine |
E274531
|
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: Watch on the Rhine | Statement: [Lucille Watson, notableWork, Watch on the Rhine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Watch on the Rhine Context triple: [Lucille Watson, notableWork, Watch on the Rhine]
-
A.
Watch on the Rhine
chosen
"Watch on the Rhine" is a 1943 American drama film, based on Lillian Hellman's play, about an anti-fascist family's struggle against Nazi agents in the United States during World War II.
-
B.
Over-the-Rhine
Over-the-Rhine is a historic Cincinnati neighborhood known for its 19th-century architecture, revitalized arts and dining scene, and significant German-American heritage.
-
C.
Bad Ems
Bad Ems is a historic spa town in western Germany, renowned for its mineral springs and picturesque location along the Lahn River.
-
D.
Riffelriss
Riffelriss is a high-altitude railway station in the Bavarian Alps that serves as a stop on the route to Germany’s highest peak, the Zugspitze.
-
E.
Overbruch
Overbruch is a district within the Walsum borough of Duisburg in North Rhine-Westphalia, Germany.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de022690ac8190bd5410ecc659a2a7 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a864c0ac81909e5fcd134ea66414 |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:10 p.m.