Triple

T360288
Position Surface form Disambiguated ID Type / Status
Subject Iacomus E7834 entity
Predicate developedInto P1245 FINISHED
Object Galician Iago
Galician Iago is the Galician-language form of the given name James, historically derived from the Latin Iacomus.
 E45941 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: Galician Iago | Statement: [Iacomus, developedInto, Galician Iago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Galician Iago
Context triple: [Iacomus, developedInto, Galician Iago]
  • A. Guillermo
    Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
  • B. Carvajal
    Carvajal is a Spanish surname of likely toponymic origin, borne by various notable figures in Spanish and Latin American history.
  • C. Eduardo
    Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
  • D. Pedro
    Pedro is the Spanish and Portuguese given name equivalent to the English name Peter and the French name Pierre.
  • E. Don Juan
    Don Juan is a long satirical narrative poem by Lord Byron that humorously reimagines the legendary libertine as a naïve young man swept through a series of romantic and political adventures.
  • 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: Galician Iago
Triple: [Iacomus, developedInto, Galician Iago]
Generated description
Galician Iago is the Galician-language form of the given name James, historically derived from the Latin Iacomus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Galician Iago
Target entity description: Galician Iago is the Galician-language form of the given name James, historically derived from the Latin Iacomus.
  • A. Guillermo
    Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
  • B. Carvajal
    Carvajal is a Spanish surname of likely toponymic origin, borne by various notable figures in Spanish and Latin American history.
  • C. Eduardo
    Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
  • D. Pedro
    Pedro is the Spanish and Portuguese given name equivalent to the English name Peter and the French name Pierre.
  • E. Don Juan
    Don Juan is a long satirical narrative poem by Lord Byron that humorously reimagines the legendary libertine as a naïve young man swept through a series of romantic and political adventures.
  • 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_69a2e7e880008190a6ad7e06e5d03007 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebccb8d88190a31f7c443a0c8566 completed Feb. 28, 2026, 1:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3e578c1788190877cf6a346cf10d4 completed March 1, 2026, 7:06 a.m.
NEDg Description generation batch_69a3e6098bc48190877f5d26bf1a985b completed March 1, 2026, 7:08 a.m.
NED2 Entity disambiguation (via description) batch_69a3e741aac48190a3f762154f6e1a36 completed March 1, 2026, 7:14 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.