Triple

T23492118
Position Surface form Disambiguated ID Type / Status
Subject Ladies’ Day E570703 entity
Predicate title P38 FINISHED
Object Ladies’ Day 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: Ladies’ Day | Statement: [Ladies’ Day, title, Ladies’ Day]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ladies’ Day
Context triple: [Ladies’ Day, title, Ladies’ Day]
  • A. Ladies’ Day chosen
    Ladies’ Day is a 1943 American comedy film best known for starring Eddie Bracken in a baseball-themed farce about superstition and romance.
  • B. Ladies First
    "Ladies First" is a pioneering feminist hip-hop track by Queen Latifah featuring Monie Love that champions women's empowerment and helped define early 1990s conscious rap.
  • C. Vivacious Lady
    Vivacious Lady is a 1938 romantic comedy film starring Ginger Rogers and James Stewart, known for its lighthearted story about a shy professor who impulsively marries a nightclub singer.
  • D. Every Day is Ladies’ Day with Me
    "Every Day is Ladies’ Day with Me" is a popular comic song from the early 20th-century operetta *The Red Mill*, known for its lighthearted, flirtatious lyrics and vaudeville-style charm.
  • E. Lady for a Day
    Lady for a Day is a 1933 American comedy-drama film directed by Frank Capra, based on a Damon Runyon story about a poor street peddler transformed into a society lady.
  • 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7dd56408190b459077e433ed1c3 completed April 29, 2026, 6:40 a.m.
Created at: April 17, 2026, 6:05 p.m.