Triple

T17171365
Position Surface form Disambiguated ID Type / Status
Subject Land of Lola E416740 entity
Predicate orchestrator P4735 FINISHED
Object Stephen Oremus E424279 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: Stephen Oremus | Statement: [Land of Lola, orchestrator, Stephen Oremus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen Oremus
Context triple: [Land of Lola, orchestrator, Stephen Oremus]
  • A. Stephen Oremus chosen
    Stephen Oremus is a Tony Award–winning American music director, arranger, and orchestrator known for his work on major Broadway musicals such as Kinky Boots, The Book of Mormon, and Wicked.
  • B. Michael Pemulis
    Michael Pemulis is a brilliant but self-destructive teenage tennis player and drug dealer in David Foster Wallace’s novel "Infinite Jest," known for his cunning, technical genius, and elaborate pranks.
  • C. Jeffrey Auerbach
    Jeffrey Auerbach is a film producer best known for his work on the stop-motion animated feature "Corpse Bride."
  • D. Bryan Goluboff
    Bryan Goluboff is an American screenwriter and playwright best known for his work on the film adaptation of Jim Carroll’s memoir "The Basketball Diaries."
  • E. Michael Pollack
    Michael Pollack is a writer best known for his work on the television series "Daisies."
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc097950819095631ee5679e03af completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fc83984819098c98b75cf021e3a completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:37 a.m.