Triple

T22655714
Position Surface form Disambiguated ID Type / Status
Subject Thou Shalt Not E559219 entity
Predicate vocalArranger P4873 FINISHED
Object Harry Connick Jr. 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: Harry Connick Jr. | Statement: [Thou Shalt Not, vocalArranger, Harry Connick Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Connick Jr.
Context triple: [Thou Shalt Not, vocalArranger, 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. Dan Riccio
    Dan Riccio is a senior Apple executive and longtime hardware engineering leader known for overseeing the development of many of the company’s major products.
  • D. Richard Cole
    Richard Cole is a fictional character known primarily as the husband of Samantha Cole within their narrative universe.
  • E. 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.
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765b93dc8190a0357dd4b6ae524a completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:06 p.m.