Triple

T9970161
Position Surface form Disambiguated ID Type / Status
Subject The Greatest Showman E196182 entity
Predicate producer P490 FINISHED
Object Jenno Topping E197238 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: Jenno Topping | Statement: [The Greatest Showman, producer, Jenno Topping]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jenno Topping
Context triple: [The Greatest Showman, producer, Jenno Topping]
  • A. Jenno Topping chosen
    Jenno Topping is an American film and television producer known for her work on a range of major studio features and acclaimed dramas.
  • B. Dan Topping
    Dan Topping was an American sports executive best known as a co-owner and president of the New York Yankees during their mid-20th-century dynasty.
  • C. Joe Tonahill
    Joe Tonahill was an American defense attorney best known for serving on the legal team that defended Jack Ruby after Ruby killed Lee Harvey Oswald.
  • D. Mazz Murray
    Mazz Murray is a British stage actress and singer best known for her leading roles in major West End musicals.
  • E. Colin Blakely
    Colin Blakely was a Northern Irish character actor known for his powerful stage work and memorable supporting roles in British and international films of the 1960s–1980s.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7b7ea9881908a56f11e2e446dd0 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23dca14d081909573e91a576921c9 completed April 5, 2026, 10:47 a.m.
Created at: March 30, 2026, 8:48 p.m.