Triple

T2706530
Position Surface form Disambiguated ID Type / Status
Subject Lillian Hellman E59353 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: [Lillian Hellman, 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: [Lillian Hellman, 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. Achtmaal
    Achtmaal is a small village in the municipality of Zundert in the Dutch province of North Brabant.
  • C. Zentropa
    Zentropa is a Danish film production company co-founded by director Lars von Trier, known for producing numerous acclaimed and often provocative European art-house films.
  • D. De Zwaan
    De Zwaan is a historic Dutch windmill relocated to Holland, Michigan, where it serves as the iconic centerpiece of the Windmill Island Gardens attraction.
  • E. Deutschland 83
    Deutschland 83 is a German Cold War-era television drama series that follows a young East German border guard sent undercover to West Germany as a spy in 1983.
  • 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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda725f24819090e8d936b3d2d5bc completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf7c22a4819096ff9effe9e0d77d completed March 10, 2026, 5:43 a.m.
Created at: March 6, 2026, 9:55 p.m.