Triple

T21382597
Position Surface form Disambiguated ID Type / Status
Subject Marc Silverstein E527399 entity
Predicate notableWork P4 FINISHED
Object Love, Rosie 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: Love, Rosie | Statement: [Marc Silverstein, notableWork, Love, Rosie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love, Rosie
Context triple: [Marc Silverstein, notableWork, Love, Rosie]
  • A. Love, Rosie chosen
    Love, Rosie is a 2014 romantic comedy-drama film based on Cecelia Ahern’s novel "Where Rainbows End," following the lifelong, will-they-won’t-they relationship between two best friends.
  • B. The Rosie Show
    The Rosie Show was an American talk show hosted by comedian and actress Rosie O'Donnell that aired on the Oprah Winfrey Network (OWN).
  • C. The Rosie Hospital
    The Rosie Hospital is a specialist maternity and neonatal hospital in Cambridge, England, providing comprehensive care for pregnancy, childbirth, and newborns.
  • D. Sweet Rosie O’Grady
    Sweet Rosie O’Grady is a 1943 Technicolor musical film starring Betty Grable as a turn-of-the-century singer entangled in romantic and comedic complications.
  • E. Mrs Brown
    Mrs Brown is a 1997 British historical drama film about the close relationship between Queen Victoria and her Scottish servant John Brown.
  • 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0d1fa1c8190b3374e0bb3a971fc completed April 22, 2026, 11:28 a.m.
Created at: April 16, 2026, 5:12 p.m.