Triple

T10089894
Position Surface form Disambiguated ID Type / Status
Subject Victor Francen E215314 entity
Predicate familyName P18 FINISHED
Object Francen
Francen is a surname most notably associated with Victor Francen, a Belgian-born actor prominent in early 20th-century European and American cinema.
 E840913 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: Francen | Statement: [Victor Francen, familyName, Francen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Francen
Context triple: [Victor Francen, familyName, Francen]
  • A. Saksa
    Saksa is a prominent mountain in Norway’s Sunnmøre Alps, known for its steep ascent and panoramic views over the Hjørundfjord.
  • B. Germania
    Germania was the ancient Roman term for the vast region of central Europe inhabited by various Germanic tribes beyond the empire’s northeastern frontiers.
  • C. Frans
    Frans is a common Dutch given name, notably borne by politician Frans Timmermans, a prominent European Union figure and former European Commission executive vice president.
  • D. Fransat
    Fransat is a French free-to-air satellite television platform that provides access to the national digital terrestrial TV channels across France.
  • E. Rijnland
    Rijnland is a historical region in the western Netherlands, centered around the lower Rhine delta and known for its extensive water management and polder landscapes.
  • 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: Francen
Triple: [Victor Francen, familyName, Francen]
Generated description
Francen is a surname most notably associated with Victor Francen, a Belgian-born actor prominent in early 20th-century European and American cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Francen
Target entity description: Francen is a surname most notably associated with Victor Francen, a Belgian-born actor prominent in early 20th-century European and American cinema.
  • A. Saksa
    Saksa is a prominent mountain in Norway’s Sunnmøre Alps, known for its steep ascent and panoramic views over the Hjørundfjord.
  • B. Germania
    Germania was the ancient Roman term for the vast region of central Europe inhabited by various Germanic tribes beyond the empire’s northeastern frontiers.
  • C. Frans
    Frans is a common Dutch given name, notably borne by politician Frans Timmermans, a prominent European Union figure and former European Commission executive vice president.
  • D. Fransat
    Fransat is a French free-to-air satellite television platform that provides access to the national digital terrestrial TV channels across France.
  • E. Rijnland
    Rijnland is a historical region in the western Netherlands, centered around the lower Rhine delta and known for its extensive water management and polder landscapes.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd05960008190baecb8e4c9f2461f completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b69cd26c8190bf4b488377dc0ce1 completed April 5, 2026, 7:23 p.m.
NEDg Description generation batch_69d2b7901ea08190a48e984356bd3d71 completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b8813f9c8190a85462efb7a0a517 completed April 5, 2026, 7:31 p.m.
Created at: March 30, 2026, 9:01 p.m.