Triple

T15310900
Position Surface form Disambiguated ID Type / Status
Subject The Reflecting Skin E366032 entity
Predicate musicBy P1952 FINISHED
Object Nick Bicât E1097701 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: Nick Bicât | Statement: [The Reflecting Skin, musicBy, Nick Bicât]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Bicât
Context triple: [The Reflecting Skin, musicBy, Nick Bicât]
  • A. Nick Bicat chosen
    Nick Bicat is a British composer best known for his work on film, television, and theatre scores.
  • B. Rico Bandello
    Rico Bandello is the ruthless, ambitious gangster protagonist of the classic 1931 crime film "Little Caesar," often cited as one of cinema’s earliest and most influential mob antiheroes.
  • C. Anthony Cipriano
    Anthony Cipriano is a television writer and producer best known for developing and creating the contemporary Psycho prequel series "Bates Motel."
  • D. Ryan Agoncillo
    Ryan Agoncillo is a Filipino actor, television host, and model best known for his work on popular variety and talk shows in the Philippines.
  • E. Joel Bolomboy
    Joel Bolomboy is a professional basketball player known for his collegiate career as a standout forward at Weber State University and subsequent play in the NBA and top European leagues.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd176708190b0f6ba17aed92f8e completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01e70a308190a7d6b91178c39bd3 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:16 a.m.