Triple

T13608949
Position Surface form Disambiguated ID Type / Status
Subject Where Everybody Knows Your Name E325136 entity
Predicate lyricist P1360 FINISHED
Object Judy Hart-Angelo E326154 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: Judy Hart-Angelo | Statement: [Where Everybody Knows Your Name, lyricist, Judy Hart-Angelo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Judy Hart-Angelo
Context triple: [Where Everybody Knows Your Name, lyricist, Judy Hart-Angelo]
  • A. Judy Hart-Angelo chosen
    Judy Hart-Angelo is an American songwriter best known for co-writing the iconic theme song to the television sitcom "Cheers."
  • B. Angela Brock
    Angela Brock is a person notable enough to be recognized as a bearer of the surname Brock, though specific widely known public details about her are not clearly established.
  • C. Angela Martin
    Angela Martin is a tightly wound, judgmental, and cat-obsessed accountant on the U.S. version of *The Office*, known for her strict moralism and tumultuous office romances.
  • D. Angela Reide
    Angela Reide is the central protagonist of "The Division," around whom the story’s key events and character dynamics revolve.
  • E. Angela Penning
    Angela Penning is known as the wife of British Conservative politician Sir Mike Penning.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07f462c8190b5b5e115d550037f completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f98286c8190a866b5edc21f1225 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.