Triple

T22383809
Position Surface form Disambiguated ID Type / Status
Subject Syntex E553341 entity
Predicate foundedBy P104 FINISHED
Object Federico Lehmann
Federico Lehmann is an entrepreneur best known as the founder of the company Syntex.
 E1550478 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: Federico Lehmann | Statement: [Syntex, foundedBy, Federico Lehmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Federico Lehmann
Context triple: [Syntex, foundedBy, Federico Lehmann]
  • A. Ignacio Sala
    Ignacio Sala was an architect known for his work on the historic Royal Tobacco Factory in Seville, Spain.
  • B. Rodolfo Terragno
    Rodolfo Terragno is an Argentine lawyer, journalist, writer, and politician who served as a prominent Radical Civic Union leader and held key government positions, including Chief of the Cabinet of Ministers.
  • C. Raúl Leoni
    Raúl Leoni was a Venezuelan lawyer and politician who served as President of Venezuela in the 1960s, overseeing a period of democratic consolidation and economic modernization.
  • D. Rodolfo Guglielmi
    Rodolfo Guglielmi, better known as Rudolph Valentino, was a legendary Italian-born silent film actor and international sex symbol of the 1920s.
  • E. Ismael Merlo
    Ismael Merlo was a Spanish film, television, and stage actor known for his prolific career in mid-20th-century Spanish cinema and drama.
  • 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: Federico Lehmann
Triple: [Syntex, foundedBy, Federico Lehmann]
Generated description
Federico Lehmann is an entrepreneur best known as the founder of the company Syntex.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Federico Lehmann
Target entity description: Federico Lehmann is an entrepreneur best known as the founder of the company Syntex.
  • A. Ignacio Sala
    Ignacio Sala was an architect known for his work on the historic Royal Tobacco Factory in Seville, Spain.
  • B. Rodolfo Terragno
    Rodolfo Terragno is an Argentine lawyer, journalist, writer, and politician who served as a prominent Radical Civic Union leader and held key government positions, including Chief of the Cabinet of Ministers.
  • C. Raúl Leoni
    Raúl Leoni was a Venezuelan lawyer and politician who served as President of Venezuela in the 1960s, overseeing a period of democratic consolidation and economic modernization.
  • D. Rodolfo Guglielmi
    Rodolfo Guglielmi, better known as Rudolph Valentino, was a legendary Italian-born silent film actor and international sex symbol of the 1920s.
  • E. Ismael Merlo
    Ismael Merlo was a Spanish film, television, and stage actor known for his prolific career in mid-20th-century Spanish cinema and drama.
  • 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1582d8e548190a7330de49d519675 completed April 29, 2026, 1 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b7ebadd18819082de314c3da14e57 completed May 18, 2026, 9:03 p.m.
NEDg Description generation batch_6a0b8086dedc81908b8482851ddee55d completed May 18, 2026, 9:11 p.m.
NED2 Entity disambiguation (via description) batch_6a0b80e09d2081908400cc978d76a4a1 completed May 18, 2026, 9:13 p.m.
Created at: April 16, 2026, 8:45 p.m.