Triple

T20329216
Position Surface form Disambiguated ID Type / Status
Subject Anna Maria Alberghetti E492424 entity
Predicate notableWork P4 FINISHED
Object Carnival! 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: Carnival! | Statement: [Anna Maria Alberghetti, notableWork, Carnival!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carnival!
Context triple: [Anna Maria Alberghetti, notableWork, Carnival!]
  • A. Carnival! chosen
    "Carnival!" is a 1961 Broadway musical known for its whimsical yet bittersweet story, memorable score, and the hit song "Love Makes the World Go 'Round."
  • B. Carnival
    Carnival is a vibrant annual festival, especially prominent in Afro-Caribbean cultures, featuring parades, music, dance, and elaborate costumes that celebrate cultural identity and community.
  • C. Carnival
    "Carnival" is a studio album by Australian country singer-songwriter Kasey Chambers, showcasing her blend of country, folk, and roots music.
  • D. The Carnival
    The Carnival is Wyclef Jean’s acclaimed debut solo album, blending hip hop, Caribbean influences, and socially conscious storytelling.
  • E. Carnival Night
    "Carnival Night" is a classic Soviet musical comedy film, widely beloved for its satirical take on bureaucracy and its festive New Year’s atmosphere.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e637e48190b5582e97fe1000c0 completed April 20, 2026, 7 p.m.
Created at: April 16, 2026, 11:22 a.m.