Triple

T22716356
Position Surface form Disambiguated ID Type / Status
Subject Brown's Requiem E561741 entity
Predicate title P38 FINISHED
Object Brown's Requiem 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: Brown's Requiem | Statement: [Brown's Requiem, title, Brown's Requiem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brown's Requiem
Context triple: [Brown's Requiem, title, Brown's Requiem]
  • A. Brown's Requiem chosen
    Brown's Requiem is a neo-noir crime film adaptation of James Ellroy's novel, featuring Selma Blair in a prominent role.
  • B. Ameriican Requiem
    "Ameriican Requiem" is a song by Beyoncé from her genre-blending, country-influenced album "Cowboy Carter."
  • C. Requiem
    Requiem is a groundbreaking 1960s choral-orchestral work by György Ligeti, renowned for its dense micropolyphonic textures and its use in the film "2001: A Space Odyssey."
  • D. Requiem
    Requiem is a musical composition for the Roman Catholic Mass for the Dead, traditionally characterized by solemn, liturgical texts set to choral and orchestral music.
  • E. Requiem
    Requiem is a British psychological horror television series that blends mystery and the supernatural as it follows a young cellist investigating a decades-old disappearance in a remote Welsh town.
  • 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1790e14c88190af6acb27910ae9c1 completed April 29, 2026, 3:20 a.m.
Created at: April 17, 2026, 3:19 p.m.