Triple

T16643617
Position Surface form Disambiguated ID Type / Status
Subject Mireya Moscoso E404406 entity
Predicate familyName P18 FINISHED
Object Moscoso
Moscoso is the surname of Mireya Moscoso, the first female president of Panama.
 E1225328 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: Moscoso | Statement: [Mireya Moscoso, familyName, Moscoso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moscoso
Context triple: [Mireya Moscoso, familyName, Moscoso]
  • A. Cevallos
    Cevallos is a Spanish surname borne by various notable figures in politics, diplomacy, and the arts.
  • B. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • C. Mazariegos
    Mazariegos is a Spanish-origin surname borne by various notable individuals, including figures in Latin American history and culture.
  • D. Echeverría
    Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
  • E. Magaña
    Magaña is a Spanish-language surname of Hispanic origin borne by various notable individuals in Mexico and other Spanish-speaking countries.
  • 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: Moscoso
Triple: [Mireya Moscoso, familyName, Moscoso]
Generated description
Moscoso is the surname of Mireya Moscoso, the first female president of Panama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moscoso
Target entity description: Moscoso is the surname of Mireya Moscoso, the first female president of Panama.
  • A. Cevallos
    Cevallos is a Spanish surname borne by various notable figures in politics, diplomacy, and the arts.
  • B. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • C. Mazariegos
    Mazariegos is a Spanish-origin surname borne by various notable individuals, including figures in Latin American history and culture.
  • D. Echeverría
    Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
  • E. Magaña
    Magaña is a Spanish-language surname of Hispanic origin borne by various notable individuals in Mexico and other Spanish-speaking countries.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad3b12c8190a32e33d9ecff9dae completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084bd1b648190b6189533dcd7b9ac completed May 10, 2026, 1:14 p.m.
NEDg Description generation batch_6a008568d2e88190a3757c7d48fa464b completed May 10, 2026, 1:17 p.m.
NED2 Entity disambiguation (via description) batch_6a0085d27d188190a13ba94c6a642dde completed May 10, 2026, 1:19 p.m.
Created at: April 10, 2026, 5:18 a.m.