Triple

T18819644
Position Surface form Disambiguated ID Type / Status
Subject Rafferty Law E460227 entity
Predicate hasModeledFor P17880 FINISHED
Object VMan
VMan is a fashion and culture magazine focused on men's style, often featuring high-profile models, celebrities, and contemporary menswear trends.
E1343986 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: VMan | Statement: [Rafferty Law, hasModeledFor, VMan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VMan
Context triple: [Rafferty Law, hasModeledFor, VMan]
  • A. Mister V
    Mister V is the alternative title of the 1941 British anti-Nazi thriller film "Pimpernel Smith," directed by and starring Leslie Howard as an archaeology professor secretly rescuing victims from the Nazis.
  • B. 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.
  • C. VICTOR V
    VICTOR V was a World War II U.S. military operation in the Pacific theater, likely one of a series of amphibious assaults in the Philippines campaign.
  • D. VAND
    VAND is the ICAO airport code assigned to Shri Guru Gobind Singh Ji Airport in India.
  • E. Von
    Von is the debut studio album by Icelandic post-rock band Sigur Rós, known for its atmospheric soundscapes and experimental style.
  • 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: VMan
Triple: [Rafferty Law, hasModeledFor, VMan]
Generated description
VMan is a fashion and culture magazine focused on men's style, often featuring high-profile models, celebrities, and contemporary menswear trends.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VMan
Target entity description: VMan is a fashion and culture magazine focused on men's style, often featuring high-profile models, celebrities, and contemporary menswear trends.
  • A. Mister V
    Mister V is the alternative title of the 1941 British anti-Nazi thriller film "Pimpernel Smith," directed by and starring Leslie Howard as an archaeology professor secretly rescuing victims from the Nazis.
  • B. 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.
  • C. VICTOR V
    VICTOR V was a World War II U.S. military operation in the Pacific theater, likely one of a series of amphibious assaults in the Philippines campaign.
  • D. VAND
    VAND is the ICAO airport code assigned to Shri Guru Gobind Singh Ji Airport in India.
  • E. Von
    Von is the debut studio album by Icelandic post-rock band Sigur Rós, known for its atmospheric soundscapes and experimental style.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6b8b7d88190a8828746176776ea completed April 20, 2026, 4:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a055bca90d481908e1633dc4eef476d completed May 14, 2026, 5:21 a.m.
NEDg Description generation batch_6a055d68aa508190a2d3d4212aed4858 completed May 14, 2026, 5:28 a.m.
NED2 Entity disambiguation (via description) batch_6a055e1a22308190bb7f2337fabc5bdf completed May 14, 2026, 5:31 a.m.
Created at: April 10, 2026, 11:55 a.m.