Triple

T1376569
Position Surface form Disambiguated ID Type / Status
Subject Alfred Drake E29238 entity
Predicate notableWork P4 FINISHED
Object Kiss Me, Kate E123731 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: Kiss Me, Kate | Statement: [Alfred Drake, notableWork, Kiss Me, Kate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiss Me, Kate
Context triple: [Alfred Drake, notableWork, Kiss Me, Kate]
  • A. Kiss Me, Kate chosen
    Kiss Me, Kate is a classic Broadway musical comedy by Cole Porter that playfully intertwines a backstage romance with a musical adaptation of Shakespeare’s The Taming of the Shrew.
  • B. Can-Can
    Can-Can is a 1953 Broadway musical by Cole Porter, best known for its lively Parisian setting and memorable score featuring songs like "I Love Paris."
  • C. High Society
    High Society is a 1956 musical romantic comedy film, starring Bing Crosby, Grace Kelly, and Frank Sinatra, that reimagines the play and film The Philadelphia Story with a jazz-infused score by Cole Porter.
  • D. 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.
  • E. On the Town
    On the Town is a 1944 Broadway musical with music by Leonard Bernstein that follows three sailors on 24-hour shore leave in New York City, later adapted into a popular 1949 film.
  • 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_69a498d883a48190bfdca525296ef7ee completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c2f9b51c8190ad52fd8c151499be completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd485e7e48190b4c2dcec53ebe195 completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:59 p.m.