Triple

T19108159
Position Surface form Disambiguated ID Type / Status
Subject Alvah Bessie E467712 entity
Predicate screenwriterFor P25235 FINISHED
Object Hotel Berlin NE NERFINISHED

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: Hotel Berlin | Statement: [Alvah Bessie, screenwriterFor, Hotel Berlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hotel Berlin
Context triple: [Alvah Bessie, screenwriterFor, Hotel Berlin]
  • A. Hotel Berlin chosen
    "Hotel Berlin" is a 1945 World War II–era drama film set in a luxury Berlin hotel during the final days of the Nazi regime, adapted from Vicki Baum’s novel of the same name.
  • B. Hotel am Luisenplatz
    Hotel am Luisenplatz is a hotel located on Potsdam’s central Luisenplatz square, offering accommodation close to major city landmarks and attractions.
  • C. Moscow Hotel
    Moscow Hotel was a historic Soviet-era hotel in central Moscow that later underwent redevelopment and reopened as the luxury Four Seasons Hotel Moscow.
  • D. Park Inn Berlin Alexanderplatz
    Park Inn Berlin Alexanderplatz is a high-rise hotel in central Berlin known for its prominent location on Alexanderplatz and panoramic city views.
  • E. Hotel Moskva
    Hotel Moskva is a historic and iconic luxury hotel in central Belgrade, renowned for its distinctive Art Nouveau architecture and cultural significance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e391f00c8190881a5977dd3728ed completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:04 p.m.