Triple

T22902764
Position Surface form Disambiguated ID Type / Status
Subject Ira Gershwin E568368 entity
Predicate notableWork P4 FINISHED
Object Let ’Em Eat Cake NE NERFINISHED

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: Let ’Em Eat Cake | Statement: [Ira Gershwin, notableWork, Let ’Em Eat Cake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Let ’Em Eat Cake
Context triple: [Ira Gershwin, notableWork, Let ’Em Eat Cake]
  • A. Let 'Em Eat Cake chosen
    Let 'Em Eat Cake is a 1933 political satire musical with music by George Gershwin and lyrics by Ira Gershwin, serving as a sequel to their earlier hit Of Thee I Sing.
  • B. Let Them Eat Cake
    Let Them Eat Cake is a British historical sitcom starring Dawn French and Jennifer Saunders, set in pre-revolutionary France and known for its sharp, irreverent humor.
  • C. Cake & Eat It Too
    Cake & Eat It Too is a track from the hip-hop album "Airtight's Revenge" by American rapper and producer Bilal.
  • D. A Piece of Cake
    "A Piece of Cake" is a short autobiographical story by Roald Dahl recounting his harrowing experiences as a Royal Air Force pilot during World War II.
  • E. Lots of Candles, Plenty of Cake
    Lots of Candles, Plenty of Cake is a reflective memoir-essay collection by Anna Quindlen that explores aging, family, friendship, and the pleasures and challenges of middle age.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458cd9e48190943ad2e34485d939 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18017a0208190a7e6f1638fc17b01 completed April 29, 2026, 3:50 a.m.
Created at: April 17, 2026, 3:41 p.m.