Triple

T23074239
Position Surface form Disambiguated ID Type / Status
Subject The Princess Shows E575283 entity
Predicate notableWork P4 FINISHED
Object Oh, My Dear! 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: Oh, My Dear! | Statement: [The Princess Shows, notableWork, Oh, My Dear!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oh, My Dear!
Context triple: [The Princess Shows, notableWork, Oh, My Dear!]
  • A. My Dearest Dear
    "My Dearest Dear" is a romantic popular song composed by renowned Welsh songwriter and entertainer Ivor Novello.
  • B. Oh, Dear! chosen
    "Oh, Dear!" is a theatrical work best known for its association with celebrated British actress and musical star Gertrude Lawrence.
  • C. Yes, Dear
    Yes, Dear is an American sitcom that aired in the early 2000s, focusing on the comedic clashes between two couples with contrasting parenting styles.
  • D. My Old Lady
    My Old Lady is a stage play (later adapted into a film) that blends drama and dark comedy as it follows an American man who inherits a Paris apartment occupied by an elderly woman with a complex past.
  • E. Beware, My Lovely
    Beware, My Lovely is a 1950 psychological suspense play (later adapted to film) by Mel Dinelli about a war widow who discovers the handyman she has hired is dangerously unstable.
  • 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c61bb7c8190a3d9b1fba173cdff completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.