Triple

T12667994
Position Surface form Disambiguated ID Type / Status
Subject Adam Greenberg E302605 entity
Predicate workedOn P3 FINISHED
Object The Big Easy E613123 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: The Big Easy | Statement: [Adam Greenberg, workedOn, The Big Easy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Big Easy
Context triple: [Adam Greenberg, workedOn, The Big Easy]
  • A. 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.
  • B. The Big Easy chosen
    The Big Easy is a 1986 neo-noir crime film set in New Orleans, known for blending romance, corruption, and Cajun culture.
  • C. Uptown New Orleans
    Uptown New Orleans is a historic, largely residential area of New Orleans known for its oak-lined streets, grand 19th-century homes, universities, and vibrant commercial corridors along the St. Charles Avenue streetcar line.
  • D. Songs of New Orleans
    "Songs of New Orleans" is an album by the Preservation Hall Jazz Band that showcases traditional New Orleans jazz standards and the city's rich musical heritage.
  • E. Down in New Orleans
    "Down in New Orleans" is a jazz-influenced opening song from Disney’s animated film *The Princess and the Frog*, introducing the vibrant setting of New Orleans and the character of Tiana.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96181c40481908f3e2717f5472b85 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688bfc048190970d281e66c34cdc completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:20 p.m.