Triple

T10469758
Position Surface form Disambiguated ID Type / Status
Subject Shrek the Musical (London production) E246892 entity
Predicate orchestrationsBy P4735 FINISHED
Object Danny Troob E508531 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: Danny Troob | Statement: [Shrek the Musical (London production), orchestrationsBy, Danny Troob]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danny Troob
Context triple: [Shrek the Musical (London production), orchestrationsBy, Danny Troob]
  • A. Dick Tufeld
    Dick Tufeld was an American voice actor best known as the iconic voice of the Robot in the classic television series "Lost in Space."
  • B. Danny Tripp
    Danny Tripp is a fictional television producer and recovering addict who serves as one of the central characters on the TV series "Studio 60 on the Sunset Strip."
  • C. Brandon Trost
    Brandon Trost is an American cinematographer and director known for his dynamic, stylized visual work on high-energy action and genre films.
  • D. Danny Wagner
    Danny Wagner is the drummer for the American rock band Greta Van Fleet.
  • E. Daniel Troob chosen
    Daniel Troob is an American orchestrator and arranger best known for his work on numerous Disney animated film scores and Broadway musicals.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092fa6048190b26d481ddc3e3ec2 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89ffdfd988190a37b3444d096e678 completed April 10, 2026, 7 a.m.
Created at: April 6, 2026, 12:20 p.m.