Triple

T14489422
Position Surface form Disambiguated ID Type / Status
Subject Black Veil Brides E359323 entity
Predicate hasFormerMember P1168 FINISHED
Object Pan
Pan is a former member of the American rock band Black Veil Brides, known for their theatrical style and blend of glam metal and post-hardcore.
 E1103494 NE FINISHED

How this triple was built (4 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: Pan | Statement: [Black Veil Brides, hasFormerMember, Pan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pan
Context triple: [Black Veil Brides, hasFormerMember, Pan]
  • A. Pan
    Pan is the rustic Greek god of shepherds, flocks, and wild nature, often depicted with goat-like features and associated with music and untamed wilderness.
  • B. Pan
    Pan is a genus of great apes that includes chimpanzees and bonobos, our closest living evolutionary relatives.
  • C. Pan
    Pan is a 1894 novel by Norwegian author Knut Hamsun, known for its lyrical portrayal of nature and its psychologically intense depiction of love and jealousy.
  • D. Pag
    Pag is a Croatian Adriatic island known for its barren, moonlike landscape, distinctive sheep’s milk cheese, and historic lace-making tradition.
  • E. Panenka
    Panenka is a famous football penalty-taking technique in which the kicker delicately chips the ball down the center of the goal, typically as the goalkeeper dives to one side.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pan
Triple: [Black Veil Brides, hasFormerMember, Pan]
Generated description
Pan is a former member of the American rock band Black Veil Brides, known for their theatrical style and blend of glam metal and post-hardcore.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pan
Target entity description: Pan is a former member of the American rock band Black Veil Brides, known for their theatrical style and blend of glam metal and post-hardcore.
  • A. Pan
    Pan is the rustic Greek god of shepherds, flocks, and wild nature, often depicted with goat-like features and associated with music and untamed wilderness.
  • B. Pan
    Pan is a genus of great apes that includes chimpanzees and bonobos, our closest living evolutionary relatives.
  • C. Pan
    Pan is a 1894 novel by Norwegian author Knut Hamsun, known for its lyrical portrayal of nature and its psychologically intense depiction of love and jealousy.
  • D. Pag
    Pag is a Croatian Adriatic island known for its barren, moonlike landscape, distinctive sheep’s milk cheese, and historic lace-making tradition.
  • E. Panenka
    Panenka is a famous football penalty-taking technique in which the kicker delicately chips the ball down the center of the goal, typically as the goalkeeper dives to one side.
  • F. None of above. chosen

Provenance (5 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de930bd1d48190abd6c47da0a3ebc8 completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d90f86081908b25f3eb90042c73 completed May 8, 2026, 4:58 a.m.
NEDg Description generation batch_69fd6f80e3a081908c43915275898852 completed May 8, 2026, 5:07 a.m.
NED2 Entity disambiguation (via description) batch_69fd7016a3c48190a1ea2fefeea92c60 completed May 8, 2026, 5:09 a.m.
Created at: April 10, 2026, 1:20 a.m.