Triple

T16171410
Position Surface form Disambiguated ID Type / Status
Subject P. R. Brown E392445 entity
Predicate hasWorkedWith P9615 FINISHED
Object Evanescence E523763 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: Evanescence | Statement: [P. R. Brown, hasWorkedWith, Evanescence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evanescence
Context triple: [P. R. Brown, hasWorkedWith, Evanescence]
  • A. Evanescence chosen
    Evanescence is an American rock band known for its gothic, symphonic sound and breakthrough success with the early 2000s hit "Bring Me to Life."
  • B. Lacuna Coil
    Lacuna Coil is an Italian gothic metal band known for blending heavy riffs with atmospheric melodies and dual male–female vocals.
  • C. Black Veil Brides
    Black Veil Brides is an American rock band known for their theatrical image, blend of glam metal and metalcore, and a devoted fanbase.
  • D. Halestorm
    Halestorm is an American hard rock band known for their powerful vocals, energetic live performances, and Grammy-winning hit songs.
  • E. While She Sleeps
    "While She Sleeps" is a suspenseful crime novel by British author Ethel Lina White, known for its tense atmosphere and intricate mystery plot.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb7ab1481908fc35bfc8c56e5f2 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7bd87f08190a9f2a1524e5db2ba completed May 10, 2026, 3:13 a.m.
Created at: April 10, 2026, 5:02 a.m.