Triple

T5454342
Position Surface form Disambiguated ID Type / Status
Subject VistaVision E122441 entity
Predicate alsoKnownAs P39 FINISHED
Object VV
VV is the common abbreviation for VistaVision, a high-resolution widescreen 35mm motion picture film format developed by Paramount Pictures in the 1950s.
 E521133 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: VV | Statement: [VistaVision, alsoKnownAs, VV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VV
Context triple: [VistaVision, alsoKnownAs, VV]
  • A. V
    V is the stock ticker symbol for Visa Inc., a leading global payments technology company.
  • B. V
    V is a studio album by the American instrumental rock band The Fucking Champs, known for its intricate, metal-influenced guitar work and progressive song structures.
  • C. VE
    VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
  • D. VL
    VL is the vehicle registration code used on license plates for vehicles registered in Râmnicu Vâlcea, Romania.
  • E. VEN
    VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
  • 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: VV
Triple: [VistaVision, alsoKnownAs, VV]
Generated description
VV is the common abbreviation for VistaVision, a high-resolution widescreen 35mm motion picture film format developed by Paramount Pictures in the 1950s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VV
Target entity description: VV is the common abbreviation for VistaVision, a high-resolution widescreen 35mm motion picture film format developed by Paramount Pictures in the 1950s.
  • A. V
    V is the stock ticker symbol for Visa Inc., a leading global payments technology company.
  • B. V
    V is a studio album by the American instrumental rock band The Fucking Champs, known for its intricate, metal-influenced guitar work and progressive song structures.
  • C. VE
    VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
  • D. VL
    VL is the vehicle registration code used on license plates for vehicles registered in Râmnicu Vâlcea, Romania.
  • E. VEN
    VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
  • 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_69bd46424248819085282ddf50a565f3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91ed9a388190967e7ffaf9dbadc6 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf41433abc8190998bdb0fa8b18041 completed March 22, 2026, 1:09 a.m.
NEDg Description generation batch_69bf41efb7748190acefa796eb4e4bed completed March 22, 2026, 1:12 a.m.
NED2 Entity disambiguation (via description) batch_69bf42654a108190b271f78616eea25a completed March 22, 2026, 1:14 a.m.
Created at: March 20, 2026, 2:08 p.m.