Triple

T16269596
Position Surface form Disambiguated ID Type / Status
Subject Vinny Burns E394962 entity
Predicate notableWork P4 FINISHED
Object Ten – X
Ten – X is a melodic hard rock album by British guitarist Vinny Burns, showcasing his virtuosic playing and songwriting outside of his work with the band Ten.
 E1203860 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: Ten – X | Statement: [Vinny Burns, notableWork, Ten – X]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ten – X
Context triple: [Vinny Burns, notableWork, Ten – X]
  • A. Ten’edn
    Ten’edn is an Aslian language spoken by an indigenous community in the Malay Peninsula, belonging to the broader Austroasiatic language family.
  • B. 10X
    10X is an express public transit route in the SEPTA system serving riders in the Philadelphia area.
  • C. The Ten
    The Ten is a 2007 satirical comedy film structured as ten interconnected stories loosely based on the Ten Commandments.
  • D. TX-10
    TX-10 is the commonly used abbreviation for Texas's 10th congressional district, a U.S. House of Representatives district covering parts of central Texas.
  • E. One in Ten
    "One in Ten" is a politically charged reggae song by British band UB40 that highlights unemployment and social inequality in early 1980s Britain.
  • 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: Ten – X
Triple: [Vinny Burns, notableWork, Ten – X]
Generated description
Ten – X is a melodic hard rock album by British guitarist Vinny Burns, showcasing his virtuosic playing and songwriting outside of his work with the band Ten.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ten – X
Target entity description: Ten – X is a melodic hard rock album by British guitarist Vinny Burns, showcasing his virtuosic playing and songwriting outside of his work with the band Ten.
  • A. Ten’edn
    Ten’edn is an Aslian language spoken by an indigenous community in the Malay Peninsula, belonging to the broader Austroasiatic language family.
  • B. 10X
    10X is an express public transit route in the SEPTA system serving riders in the Philadelphia area.
  • C. The Ten
    The Ten is a 2007 satirical comedy film structured as ten interconnected stories loosely based on the Ten Commandments.
  • D. TX-10
    TX-10 is the commonly used abbreviation for Texas's 10th congressional district, a U.S. House of Representatives district covering parts of central Texas.
  • E. One in Ten
    "One in Ten" is a politically charged reggae song by British band UB40 that highlights unemployment and social inequality in early 1980s Britain.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24608dd20819082f46a64af233038 completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017bceb3881909dbd3167820ef199 completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a00184a16e0819089dffbe23b88bdb3 completed May 10, 2026, 5:31 a.m.
NED2 Entity disambiguation (via description) batch_6a00190887088190a5a0eb2cfd674c98 completed May 10, 2026, 5:35 a.m.
Created at: April 10, 2026, 5:05 a.m.