Triple

T11794048
Position Surface form Disambiguated ID Type / Status
Subject Jack Henry Robbins E280459 entity
Predicate notableWork P4 FINISHED
Object VHYes
VHYes is a surreal, retro-styled comedy film presented as a collage of late-night VHS recordings that blend sketch, satire, and narrative experimentation.
 E946980 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: VHYes | Statement: [Jack Henry Robbins, notableWork, VHYes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VHYes
Context triple: [Jack Henry Robbins, notableWork, VHYes]
  • A. VXH
    VXH is the National Rail station code for Vauxhall railway station in London, England.
  • B. VSH
    VSH is the Indian Railways station code for Vashi railway station, a key suburban rail stop in Navi Mumbai, Maharashtra.
  • C. VOH
    VOH is the vehicle registration code used on license plates for the district of Neustadt an der Waldnaab in Bavaria, Germany.
  • D. VfGH
    VfGH is the abbreviation for Austria’s Constitutional Court, the highest judicial body responsible for reviewing the constitutionality of laws and safeguarding the Austrian constitution.
  • E. VY
    VY is the IATA airline designator assigned to Vueling, a Spanish low-cost carrier based in Barcelona.
  • 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: VHYes
Triple: [Jack Henry Robbins, notableWork, VHYes]
Generated description
VHYes is a surreal, retro-styled comedy film presented as a collage of late-night VHS recordings that blend sketch, satire, and narrative experimentation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VHYes
Target entity description: VHYes is a surreal, retro-styled comedy film presented as a collage of late-night VHS recordings that blend sketch, satire, and narrative experimentation.
  • A. VXH
    VXH is the National Rail station code for Vauxhall railway station in London, England.
  • B. VSH
    VSH is the Indian Railways station code for Vashi railway station, a key suburban rail stop in Navi Mumbai, Maharashtra.
  • C. VOH
    VOH is the vehicle registration code used on license plates for the district of Neustadt an der Waldnaab in Bavaria, Germany.
  • D. VfGH
    VfGH is the abbreviation for Austria’s Constitutional Court, the highest judicial body responsible for reviewing the constitutionality of laws and safeguarding the Austrian constitution.
  • E. VY
    VY is the IATA airline designator assigned to Vueling, a Spanish low-cost carrier based in Barcelona.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a082d08190a42541396a06ed98 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09115c66c8190b0a3e775bdf575c1 completed April 28, 2026, 10:51 a.m.
NEDg Description generation batch_69f0bd40108c8190863a60cf01cc7201 completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef7e9f388190b33f6c16abadfde9 completed April 28, 2026, 5:33 p.m.
Created at: April 8, 2026, 9:42 p.m.