Triple

T15532797
Position Surface form Disambiguated ID Type / Status
Subject Victor John Raschi E370263 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 John Raschi, givenName, Victor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victor
Context triple: [Victor John Raschi, 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 John Raschi, 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 NATO reporting name for a class of Soviet nuclear-powered attack submarines developed during the Cold War.
  • C. Victor
    Victor is a trusted henchman and enforcer for drug kingpin Gustavo Fring in the television series Breaking Bad.
  • 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 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.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414877d88190804ee76566004e13 completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5e82a48190bb0a10ebc2412129 completed May 9, 2026, 1:57 p.m.
NEDg Description generation batch_69ff3ea7d5ac81908bd1ee64de39dba7 completed May 9, 2026, 2:03 p.m.
NED2 Entity disambiguation (via description) batch_69ff413a68488190a6c8907e36a602dc completed May 9, 2026, 2:14 p.m.
Created at: April 10, 2026, 4:06 a.m.