Triple

T20457473
Position Surface form Disambiguated ID Type / Status
Subject Victor Silvester E501831 entity
Predicate givenName P17 FINISHED
Object Victor
Victor is a masculine given name of Latin origin meaning "conqueror" or "winner," used in many languages and cultures.
E30470 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: Victor | Statement: [Victor Silvester, givenName, Victor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victor
Context triple: [Victor Silvester, givenName, Victor]
  • A. Victor
    Victor is a central character in the TV series "Dollhouse," known as one of the programmable "Actives" whose identity and memories are repeatedly altered for various missions.
  • B. Victor
    Victor is a character in Gregory Benford’s science fiction novel "Timescape," which explores time communication and ecological catastrophe.
  • C. Victor
    Victor was a prominent early 20th-century record label known for producing and distributing influential jazz and popular music recordings.
  • D. Victor
    Victor is the NATO reporting name for a class of Soviet nuclear-powered attack submarines developed during the Cold War.
  • E. Victor
    Victor is a British Cold War–era jet aircraft that served as both a strategic bomber and later an aerial refueling tanker for the Royal Air Force.
  • 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: Victor
Triple: [Victor Silvester, givenName, Victor]
Generated description
Victor is a masculine given name of Latin origin meaning "conqueror" or "winner," used in many languages and cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Victor
Target entity description: Victor is a masculine given name of Latin origin meaning "conqueror" or "winner," used in many languages and cultures.
  • A. Victor chosen
    Victor is a masculine given name of Latin origin meaning "conqueror" or "winner," commonly used in many European and English-speaking countries.
  • B. Victor
    Victor is the epithet meaning “conqueror” or “victorious one” associated with the Seleucid king Demetrius II Nicator.
  • C. Victor
    Victor is a surname shared by various notable individuals across fields such as literature, entertainment, and public life.
  • D. Victor
    Victor is the NATO reporting name for a class of Soviet nuclear-powered attack submarines developed during the Cold War.
  • E. Victor
    Victor is an alternate personality (alter ego) of the soap opera character Victoria "Viki" Lord from the series One Life to Live.
  • F. None of above.

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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a2a8a88190992211b09295d8ea completed April 20, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a088b10b6608190a88f466dccf31322 completed May 16, 2026, 3:19 p.m.
NEDg Description generation batch_6a088c75b09081908a35bc7a9b6a45ce completed May 16, 2026, 3:25 p.m.
NED2 Entity disambiguation (via description) batch_6a088d8c3ab08190a399dba52e3c99f5 completed May 16, 2026, 3:30 p.m.
Created at: April 16, 2026, 11:33 a.m.