Triple

T150874
Position Surface form Disambiguated ID Type / Status
Subject Lord Byron E3427 entity
Predicate notableWork P4 FINISHED
Object 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.
 E18082 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: Don Juan | Statement: [Lord Byron, notableWork, Don Juan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Don Juan
Context triple: [Lord Byron, notableWork, Don Juan]
  • A. Guillermo
    Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
  • B. Don Juan (1926 film)
    Don Juan (1926 film) is a 1926 American silent romantic adventure film starring John Barrymore, notable for being the first feature-length film with a synchronized musical score and sound effects using the Vitaphone sound-on-disc system.
  • C. Diego
    Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
  • D. Andrés
    Andrés is a Spanish given name commonly used as the equivalent of Andrew.
  • E. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • 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: Don Juan
Triple: [Lord Byron, notableWork, Don Juan]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Don Juan
Target entity description: 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.
  • A. Guillermo
    Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
  • B. Don Juan (1926 film)
    Don Juan (1926 film) is a 1926 American silent romantic adventure film starring John Barrymore, notable for being the first feature-length film with a synchronized musical score and sound effects using the Vitaphone sound-on-disc system.
  • C. Diego
    Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
  • D. Andrés
    Andrés is a Spanish given name commonly used as the equivalent of Andrew.
  • E. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a2580dda148190a522e0ac276d5f33 completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c52f29d88190b899f1eaf3012a4b completed Feb. 28, 2026, 10:36 a.m.
NEDg Description generation batch_69a2c5dd9db4819097b1163bfa25333b completed Feb. 28, 2026, 10:39 a.m.
NED2 Entity disambiguation (via description) batch_69a2c6e1052c819085f643bfbfcf1076 completed Feb. 28, 2026, 10:43 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.