Triple

T5349461
Position Surface form Disambiguated ID Type / Status
Subject The Purple Mask E124138 entity
Predicate musicBy P1952 FINISHED
Object Frank Skinner E315135 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: Frank Skinner | Statement: [The Purple Mask, musicBy, Frank Skinner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Skinner
Context triple: [The Purple Mask, musicBy, Frank Skinner]
  • A. Frank Skinner chosen
    Frank Skinner was an American film composer best known for his prolific work scoring Hollywood movies during the mid-20th century, particularly for Universal Pictures.
  • B. Keith Partridge
    Keith Partridge is the fictional teen heartthrob and lead singer of the family band in the 1970s musical sitcom "The Partridge Family."
  • C. Harry Enfield
    Harry Enfield is an English comedian, actor, and writer best known for his influential sketch shows and memorable comic characters on British television.
  • D. Tony Robinson
    Tony Robinson is a British actor, comedian, and presenter best known for playing Baldrick in the historical sitcom series "Blackadder."
  • E. Tony Ross
    Tony Ross is a British illustrator and author best known for his humorous and distinctive artwork in numerous children's books, including the "Little Princess" series.
  • 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_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd860ea7088190ad7be14132927d17 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf291610b4819086e04f232e4eba7d completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2:01 p.m.