Triple

T21497776
Position Surface form Disambiguated ID Type / Status
Subject Young & Rubicam E530399 entity
Predicate hasSubsidiary P254 FINISHED
Object VML
VML is a global marketing and communications agency known for its digital, creative, and brand strategy services.
 E1487517 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: VML | Statement: [Young & Rubicam, hasSubsidiary, VML]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VML
Context triple: [Young & Rubicam, hasSubsidiary, VML]
  • A. VMB
    VMB is the Brazilian version of the MTV Video Music Awards, an annual ceremony that honors achievements in the country's music video industry.
  • B. VMC
    VMC is the Venus Monitoring Camera, a wide-angle imaging instrument on the European Space Agency’s Venus Express spacecraft used to study Venus’s atmosphere and cloud dynamics.
  • C. VDM
    VDM is the IATA airport code for Gobernador Edgardo Castello Airport in Viedma, Argentina.
  • D. VMF
    VMF is the Russian abbreviation for the Soviet Navy, the maritime branch of the former Soviet Union’s armed forces.
  • E. VMU
    The VMU (Visual Memory Unit) is a memory card and secondary screen accessory for the Sega Dreamcast that provides game save storage and mini-game functionality.
  • 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: VML
Triple: [Young & Rubicam, hasSubsidiary, VML]
Generated description
VML is a global marketing and communications agency known for its digital, creative, and brand strategy services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VML
Target entity description: VML is a global marketing and communications agency known for its digital, creative, and brand strategy services.
  • A. VMB
    VMB is the Brazilian version of the MTV Video Music Awards, an annual ceremony that honors achievements in the country's music video industry.
  • B. VMC
    VMC is the Venus Monitoring Camera, a wide-angle imaging instrument on the European Space Agency’s Venus Express spacecraft used to study Venus’s atmosphere and cloud dynamics.
  • C. VDM
    VDM is the IATA airport code for Gobernador Edgardo Castello Airport in Viedma, Argentina.
  • D. VMF
    VMF is the Russian abbreviation for the Soviet Navy, the maritime branch of the former Soviet Union’s armed forces.
  • E. VMU
    The VMU (Visual Memory Unit) is a memory card and secondary screen accessory for the Sega Dreamcast that provides game save storage and mini-game functionality.
  • 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea58faa08190ab9f60b0db3c425b completed April 23, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e13d6bc88190a55f46c68c9c55c2 completed May 17, 2026, 3:39 p.m.
NEDg Description generation batch_6a09e1fc4f7881909e198768cdb43747 completed May 17, 2026, 3:42 p.m.
NED2 Entity disambiguation (via description) batch_6a09e2ca2a0c8190a7629dd68d373cf2 completed May 17, 2026, 3:46 p.m.
Created at: April 16, 2026, 6:23 p.m.