Triple

T2747067
Position Surface form Disambiguated ID Type / Status
Subject The Rose E60894 entity
Predicate title P38 FINISHED
Object The Rose E60894 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: The Rose | Statement: [The Rose, title, The Rose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Rose
Context triple: [The Rose, title, The Rose]
  • A. The Rose chosen
    The Rose is a 1979 musical drama film starring Bette Midler as a self-destructive rock singer, widely acclaimed for her powerful performance and the hit title song.
  • B. For the Roses
    For the Roses is a 1972 studio album by Canadian singer-songwriter Joni Mitchell that bridges her early folk style with more complex, jazz-influenced compositions and introspective lyrics.
  • C. The Red Rose
    The Red Rose is the athletic nickname representing Lancaster University's sports teams, drawing on the historic symbol of Lancashire.
  • D. The Roses
    The Roses is a nickname for Portland Thorns FC, a prominent National Women's Soccer League club based in Portland, Oregon.
  • E. Rose in Bloom
    Rose in Bloom is a coming-of-age novel by Louisa May Alcott that follows the personal and moral development of a young heiress navigating love, family, and social expectations.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb4ed6bc8190876c1d188b97692b completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbd0f3a08190bf33a937ae9749c7 completed March 10, 2026, 6:36 a.m.
Created at: March 6, 2026, 9:56 p.m.