Triple

T21354173
Position Surface form Disambiguated ID Type / Status
Subject Victor Seixas E526567 entity
Predicate givenName P17 FINISHED
Object Victor
Victor is a masculine given name of Latin origin meaning "conqueror" or "winner," historically popular in various European and Latin American 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 Seixas, givenName, Victor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victor
Context triple: [Victor Seixas, givenName, Victor]
  • A. Victor
    Victor was a prominent early 20th-century record label known for producing and distributing influential jazz and popular music recordings.
  • B. Victor
    Victor is a character in Gregory Benford’s science fiction novel "Timescape," which explores time communication and ecological catastrophe.
  • C. Victor
    Victor is a supporting character in the romantic film "Letters to Juliet," known as Sophie’s work-obsessed fiancé whose priorities contrast with her search for true love.
  • D. 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.
  • E. Victor
    Victor is a trusted henchman and enforcer for drug kingpin Gustavo Fring in the television series Breaking Bad.
  • 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 Seixas, givenName, Victor]
Generated description
Victor is a masculine given name of Latin origin meaning "conqueror" or "winner," historically popular in various European and Latin American 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," historically popular in various European and Latin American 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8af9aa9508190b756cc8e07084c8e completed April 22, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09ad6361b881908db56803d3109bf4 completed May 17, 2026, 11:58 a.m.
NEDg Description generation batch_6a09adf244d481908bb02f99844f1cd0 completed May 17, 2026, noon
NED2 Entity disambiguation (via description) batch_6a09ae91d9cc8190a677124f1a0e1e4e completed May 17, 2026, 12:03 p.m.
Created at: April 16, 2026, 5:05 p.m.