Triple

T1280723
Position Surface form Disambiguated ID Type / Status
Subject Moisés Vivanco E27317 entity
Predicate givenName P17 FINISHED
Object Moisés
Moisés is a masculine given name of Hebrew origin, commonly used in Spanish- and Portuguese-speaking countries and equivalent to the English name Moses.
 E126068 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: Moisés | Statement: [Moisés Vivanco, givenName, Moisés]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moisés
Context triple: [Moisés Vivanco, givenName, Moisés]
  • A. Moses
    Moses is a central prophet and leader in the Hebrew Bible, traditionally credited with leading the Israelites out of Egypt and receiving the Ten Commandments from God.
  • B. Yoshua
    Yoshua is a male given name most notably borne by Yoshua Bengio, a pioneering Canadian computer scientist and deep learning researcher.
  • C. Moses the Black
    Moses the Black was a 4th-century Ethiopian desert monk and former bandit who became a renowned Christian ascetic and saint among the Desert Fathers.
  • D. Joshua
    Joshua is a masculine given name of Hebrew origin, commonly used in English-speaking countries.
  • E. Joshua
    Joshua is a book of the Hebrew Bible and Christian Old Testament that narrates the Israelite conquest and settlement of Canaan under the leadership of Joshua.
  • 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: Moisés
Triple: [Moisés Vivanco, givenName, Moisés]
Generated description
Moisés is a masculine given name of Hebrew origin, commonly used in Spanish- and Portuguese-speaking countries and equivalent to the English name Moses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moisés
Target entity description: Moisés is a masculine given name of Hebrew origin, commonly used in Spanish- and Portuguese-speaking countries and equivalent to the English name Moses.
  • A. Moses
    Moses is a central prophet and leader in the Hebrew Bible, traditionally credited with leading the Israelites out of Egypt and receiving the Ten Commandments from God.
  • B. Yoshua
    Yoshua is a male given name most notably borne by Yoshua Bengio, a pioneering Canadian computer scientist and deep learning researcher.
  • C. Moses the Black
    Moses the Black was a 4th-century Ethiopian desert monk and former bandit who became a renowned Christian ascetic and saint among the Desert Fathers.
  • D. Joshua
    Joshua is a book of the Hebrew Bible and Christian Old Testament that narrates the Israelite conquest and settlement of Canaan under the leadership of Joshua.
  • E. Joshua chosen
    Joshua is a masculine given name of Hebrew origin, commonly used in English-speaking countries.
  • F. None of above.

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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c094eb4881909a33061339f91190 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacb7ee8c819084ef29881b2274cb completed March 7, 2026, 10:54 p.m.
NEDg Description generation batch_69acad20da088190a3b55a5d46e8d951 completed March 7, 2026, 10:56 p.m.
NED2 Entity disambiguation (via description) batch_69acae0392fc8190b644f4b233bbc3ff completed March 7, 2026, 11 p.m.
Created at: March 1, 2026, 7:50 p.m.