Triple

T856144
Position Surface form Disambiguated ID Type / Status
Subject Billy Wilder E18495 entity
Predicate wroteScreenplayFor P15305 FINISHED
Object Ninotchka E101032 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: Ninotchka | Statement: [Billy Wilder, wroteScreenplayFor, Ninotchka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ninotchka
Context triple: [Billy Wilder, wroteScreenplayFor, Ninotchka]
  • A. Ninotchka chosen
    Ninotchka is a classic 1939 romantic comedy film starring Greta Garbo, celebrated for its witty script and satirical take on Soviet–Western relations.
  • B. The Band Wagon
    The Band Wagon is a classic 1953 MGM musical film starring Fred Astaire, celebrated for its sophisticated song-and-dance numbers and backstage showbiz storyline.
  • C. Casablanca
    Casablanca is Morocco’s largest city and economic hub, located on the Atlantic coast of North Africa and known for its major port and modern urban character.
  • D. Casablanca
    Casablanca is a classic 1942 American romantic drama film set during World War II, renowned for its iconic performances, memorable dialogue, and enduring status as one of Hollywood’s greatest movies.
  • E. The Most Happy Fella
    The Most Happy Fella is a 1956 Broadway musical by Frank Loesser, known for its operatic score and romantic story set in California’s Napa Valley.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac3c172481908ed164ee1579ec28 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b8494840819091324bf603ff8d7c completed March 4, 2026, 4:42 a.m.
Created at: March 1, 2026, 7:39 p.m.