Triple

T3724777
Position Surface form Disambiguated ID Type / Status
Subject Signetics E81722 entity
Predicate foundedBy P104 FINISHED
Object Lionel Kattner
Lionel Kattner was an engineer and entrepreneur best known as a co-founder of the early semiconductor company Signetics.
E562356 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: Lionel Kattner | Statement: [Signetics, foundedBy, Lionel Kattner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lionel Kattner
Context triple: [Signetics, foundedBy, Lionel Kattner]
  • A. Charles Jonnart
    Charles Jonnart was a French politician and statesman of the Third Republic, known for his ministerial roles and influence in centrist republican politics.
  • B. Philippe Erlanger
    Philippe Erlanger was a French historian and cultural administrator best known for initiating and organizing the creation of the Cannes Film Festival.
  • C. Marcel Zyskind
    Marcel Zyskind is a Danish cinematographer known for his visually distinctive work on independent and art-house films.
  • D. Bernard Zehrfuss
    Bernard Zehrfuss was a prominent 20th-century French architect known for his modernist public and institutional buildings.
  • E. Pierre Lescure
    Pierre Lescure is a French media executive and journalist best known as the co-founder and former CEO of the television network Canal+ and a prominent figure in France’s entertainment industry.
  • 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: Lionel Kattner
Triple: [Signetics, foundedBy, Lionel Kattner]
Generated description
Lionel Kattner was an engineer and entrepreneur best known as a co-founder of the early semiconductor company Signetics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lionel Kattner
Target entity description: Lionel Kattner was an engineer and entrepreneur best known as a co-founder of the early semiconductor company Signetics.
  • A. Charles Jonnart
    Charles Jonnart was a French politician and statesman of the Third Republic, known for his ministerial roles and influence in centrist republican politics.
  • B. Philippe Erlanger
    Philippe Erlanger was a French historian and cultural administrator best known for initiating and organizing the creation of the Cannes Film Festival.
  • C. Marcel Zyskind
    Marcel Zyskind is a Danish cinematographer known for his visually distinctive work on independent and art-house films.
  • D. Bernard Zehrfuss
    Bernard Zehrfuss was a prominent 20th-century French architect known for his modernist public and institutional buildings.
  • E. Pierre Lescure
    Pierre Lescure is a French media executive and journalist best known as the co-founder and former CEO of the television network Canal+ and a prominent figure in France’s entertainment industry.
  • 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_69ad8b1b7ef081908d2d381bbf54985a completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcaf54af881908bd8d520595de061 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c10791159c81909b91cd5beb962e39 completed March 23, 2026, 9:27 a.m.
NEDg Description generation batch_69c109f1ca4c819090da3ac4c9aa8b07 completed March 23, 2026, 9:37 a.m.
NED2 Entity disambiguation (via description) batch_69c10a4bb2348190a5f1faf28aecf522 completed March 23, 2026, 9:39 a.m.
Created at: March 8, 2026, 3:34 p.m.