Triple

T5095047
Position Surface form Disambiguated ID Type / Status
Subject All Stars E114845 entity
Predicate genre P14 FINISHED
Object Dixieland E117517 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: Dixieland | Statement: [All Stars, genre, Dixieland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dixieland
Context triple: [All Stars, genre, Dixieland]
  • A. New Orleans Jazz
    New Orleans Jazz was a former NBA franchise based in New Orleans during the 1970s before relocating and becoming the Utah Jazz.
  • B. New Orleans jazz chosen
    New Orleans jazz is an early style of jazz that emerged in New Orleans in the early 20th century, characterized by collective improvisation, strong rhythmic drive, and a blend of African, Caribbean, and European musical influences.
  • C. Satchmo
    Satchmo is the famous nickname of jazz legend Louis Armstrong, renowned for his virtuosic trumpet playing and gravelly singing voice.
  • D. The Big Easy
    The Big Easy is a popular nickname for New Orleans, Louisiana, known for its vibrant music scene, distinctive cuisine, and laid-back culture.
  • E. Bayou Folk
    Bayou Folk is a collection of short stories by American author Kate Chopin that vividly portrays life, culture, and complex social relations in late 19th-century Louisiana.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7563ad608190879a26a0bf07c3f6 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec363bfb88190a290b92d052a46ef completed March 21, 2026, 4:12 p.m.
Created at: March 20, 2026, 1:40 p.m.