Triple

T9789546
Position Surface form Disambiguated ID Type / Status
Subject Copycat E237571 entity
Predicate stars P1956 FINISHED
Object Harry Connick Jr. E123790 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: Harry Connick Jr. | Statement: [Copycat, stars, Harry Connick Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Connick Jr.
Context triple: [Copycat, stars, Harry Connick Jr.]
  • A. Harry Connick Jr. chosen
    Harry Connick Jr. is an American singer, pianist, composer, and actor known for his jazz and big band recordings as well as his work in film and television.
  • B. Harry Connick Sr.
    Harry Connick Sr. is an American lawyer and politician best known for serving as the long-time District Attorney of Orleans Parish in New Orleans.
  • C. Mark Murphy
    Mark Murphy is an American sports executive and former NFL safety who serves as the president and CEO of the Green Bay Packers.
  • D. Raymond Blanco
    Raymond Blanco was an American educator and longtime university administrator best known as the husband of former Louisiana governor Kathleen Blanco.
  • E. Johnny Hartman
    Johnny Hartman was an American jazz baritone vocalist renowned for his rich, velvety tone and acclaimed collaborations with artists such as John Coltrane.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda214875481909f39e1d4dbac1fdb completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c42c9fe081908145911cad6723c2 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:28 p.m.