Triple

T9328104
Position Surface form Disambiguated ID Type / Status
Subject Abe Burrows E224445 entity
Predicate notableWork P4 FINISHED
Object Can-Can E125536 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: Can-Can | Statement: [Abe Burrows, notableWork, Can-Can]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Can-Can
Context triple: [Abe Burrows, notableWork, Can-Can]
  • A. Can-Can chosen
    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."
  • B. Crazy for You
    Crazy for You is a Tony Award–winning Broadway musical comedy featuring the songs of George and Ira Gershwin, known for its energetic choreography and classic showbiz storyline.
  • 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. Mack & Mabel
    Mack & Mabel is a 1974 Broadway musical by Jerry Herman that dramatizes the turbulent relationship between silent film director Mack Sennett and his star Mabel Normand.
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37ab90ac8190b5c73f08dd091731 completed April 1, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e3c30ba88190b192621928136b87 completed April 4, 2026, 10:11 a.m.
Created at: March 30, 2026, 7:39 p.m.