Triple

T8167247
Position Surface form Disambiguated ID Type / Status
Subject Carlos Menem E190722 entity
Predicate familyName P18 FINISHED
Object Menem
Menem is the surname of Carlos Menem, the former President of Argentina known for his neoliberal economic reforms and political influence in the 1990s.
 E715828 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: Menem | Statement: [Carlos Menem, familyName, Menem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Menem
Context triple: [Carlos Menem, familyName, Menem]
  • A. Menen
    Menen is a town in the Belgian province of West Flanders, located near the border with France.
  • B. Manaen
    Manaen was an early Christian leader mentioned in the New Testament as a prophet and teacher in the church at Antioch, noted for having been brought up with Herod the tetrarch.
  • C. Mene
    Mene is an epithet of the Greek moon goddess Selene, emphasizing her aspect as the personification of the lunar month and its cyclical phases.
  • D. Emme
    Emme is a river in Switzerland that flows through the canton of Bern and is a tributary of the Aare.
  • E. Menzel
    Menzel is the surname of Idina Menzel, the American actress and singer best known for her roles in Broadway musicals and the film "Frozen."
  • 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: Menem
Triple: [Carlos Menem, familyName, Menem]
Generated description
Menem is the surname of Carlos Menem, the former President of Argentina known for his neoliberal economic reforms and political influence in the 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Menem
Target entity description: Menem is the surname of Carlos Menem, the former President of Argentina known for his neoliberal economic reforms and political influence in the 1990s.
  • A. Menen
    Menen is a town in the Belgian province of West Flanders, located near the border with France.
  • B. Manaen
    Manaen was an early Christian leader mentioned in the New Testament as a prophet and teacher in the church at Antioch, noted for having been brought up with Herod the tetrarch.
  • C. Mene
    Mene is an epithet of the Greek moon goddess Selene, emphasizing her aspect as the personification of the lunar month and its cyclical phases.
  • D. Emme
    Emme is a river in Switzerland that flows through the canton of Bern and is a tributary of the Aare.
  • E. Menzel
    Menzel is the surname of Idina Menzel, the American actress and singer best known for her roles in Broadway musicals and the film "Frozen."
  • 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_69ca82c0ef14819083713f4473dd847c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb46698fb88190a6d520b05cb9b03e completed March 31, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf4b68288190be7490119d46b242 completed April 1, 2026, 6:46 a.m.
NEDg Description generation batch_69ccc311d4e8819080f4aeef8ee7dc3b completed April 1, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ccd83115fc8190a3e276bed0a00926 completed April 1, 2026, 8:32 a.m.
Created at: March 30, 2026, 5:39 p.m.