Triple

T8844252
Position Surface form Disambiguated ID Type / Status
Subject Enrique Cerezo E210463 entity
Predicate familyName P18 FINISHED
Object Cerezo
Cerezo is a Spanish surname most notably associated with Enrique Cerezo, a prominent film producer and president of Atlético Madrid.
 E760247 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: Cerezo | Statement: [Enrique Cerezo, familyName, Cerezo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cerezo
Context triple: [Enrique Cerezo, familyName, Cerezo]
  • A. Naranjal
    Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
  • B. Granato
    Granato is an Italian surname borne by various notable individuals in sports and other fields.
  • C. Ameixial
    Ameixial is a small rural village in Portugal’s Algarve region, known for its traditional character and scenic surroundings in the interior hills.
  • D. Malvazia
    Malvazia is a traditional Mediterranean wine grape variety, best known for producing rich, aromatic Malvasia-style wines ranging from dry to lusciously sweet.
  • E. Meloneras
    Meloneras is an upscale coastal resort area in southern Gran Canaria, Spain, known for its luxury hotels, seaside promenade, and proximity to the Maspalomas dunes and lighthouse.
  • 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: Cerezo
Triple: [Enrique Cerezo, familyName, Cerezo]
Generated description
Cerezo is a Spanish surname most notably associated with Enrique Cerezo, a prominent film producer and president of Atlético Madrid.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cerezo
Target entity description: Cerezo is a Spanish surname most notably associated with Enrique Cerezo, a prominent film producer and president of Atlético Madrid.
  • A. Naranjal
    Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
  • B. Granato
    Granato is an Italian surname borne by various notable individuals in sports and other fields.
  • C. Ameixial
    Ameixial is a small rural village in Portugal’s Algarve region, known for its traditional character and scenic surroundings in the interior hills.
  • D. Malvazia
    Malvazia is a traditional Mediterranean wine grape variety, best known for producing rich, aromatic Malvasia-style wines ranging from dry to lusciously sweet.
  • E. Meloneras
    Meloneras is an upscale coastal resort area in southern Gran Canaria, Spain, known for its luxury hotels, seaside promenade, and proximity to the Maspalomas dunes and lighthouse.
  • 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_69ca838967bc8190b46c3c80a2887ea4 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc608a73c88190875409fef79ffc8a completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf89ad0a3c8190a2bcf9a106138835 completed April 3, 2026, 9:34 a.m.
NEDg Description generation batch_69cf8ac657a48190b01e3f0365105f3c completed April 3, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_69cf8b8849ec8190915fa087b1b46c18 completed April 3, 2026, 9:42 a.m.
Created at: March 30, 2026, 6:48 p.m.