Triple

T13413339
Position Surface form Disambiguated ID Type / Status
Subject 16th Academy Awards E320145 entity
Predicate bestActorFilm P5563 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: [16th Academy Awards, bestActorFilm, Watch on the Rhine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Watch on the Rhine
Context triple: [16th Academy Awards, bestActorFilm, 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb556948190af008c88e5bbf051 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7307e9b5881908eb2cd9e4fa7c5f2 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:35 p.m.