Triple

T16056875
Position Surface form Disambiguated ID Type / Status
Subject Twentysomething E389502 entity
Predicate hasPart P35 FINISHED
Object Singin’ in the Rain E10996 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: Singin’ in the Rain | Statement: [Twentysomething, hasPart, Singin’ in the Rain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Singin’ in the Rain
Context triple: [Twentysomething, hasPart, Singin’ in the Rain]
  • A. Singin' in the Rain chosen
    Singin' in the Rain is a classic 1952 American musical comedy film, celebrated for its iconic song-and-dance numbers and its satirical look at Hollywood’s transition from silent films to talkies.
  • 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. Song and Dance
    Song and Dance is a two-act musical by Andrew Lloyd Webber that uniquely combines a song cycle with a dance-based narrative.
  • D. Sunset Boulevard
    Sunset Boulevard is a famous Los Angeles thoroughfare known for its historic connection to the film industry, nightlife, and iconic cultural landmarks.
  • E. Sunset Boulevard
    Sunset Boulevard is a classic 1950 American film noir drama about a faded silent film star and a struggling screenwriter, renowned for its dark satire of Hollywood and its iconic performances and dialogue.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837579488190964ca004c2eb01c4 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbe49bd0819088e25de082184133 completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:56 a.m.