Triple

T16775459
Position Surface form Disambiguated ID Type / Status
Subject Ángela Jeria E407709 entity
Predicate givenName P17 FINISHED
Object Ángela
Ángela is a feminine given name of Spanish origin commonly used in Spanish-speaking countries.
 E1233160 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: Ángela | Statement: [Ángela Jeria, givenName, Ángela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ángela
Context triple: [Ángela Jeria, givenName, Ángela]
  • A. Angela
    "Angela" is a 1995 independent drama film written and directed by Rebecca Miller, exploring the inner world and imagination of a troubled young girl.
  • B. Angela
    "Angela" is the smooth jazz instrumental theme song composed and performed by Bob James, best known as the opening theme for the television sitcom Taxi.
  • C. Angela
    Angela is the birth name of Blac Chyna, an American model, socialite, and entrepreneur.
  • D. Angela
    Angela is the central character of the work "His Own Where," around whom the story’s events and themes revolve.
  • E. Angela
    Angela is the given name of Angela Sarafyan, an Armenian-American actress known for her role as Clementine Pennyfeather in the television series "Westworld."
  • 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: Ángela
Triple: [Ángela Jeria, givenName, Ángela]
Generated description
Ángela is a feminine given name of Spanish origin commonly used in Spanish-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ángela
Target entity description: Ángela is a feminine given name of Spanish origin commonly used in Spanish-speaking countries.
  • A. Angela
    Angela is a minor character in the dark comedy crime film "Seven Psychopaths," appearing in the story’s ensemble of eccentric and violent figures.
  • B. Angela
    Angela is a character in the British stage play and film "Abigail's Party," known for her polite, somewhat naive demeanor amid the story's tense social dynamics.
  • C. Angela
    "Angela" is a 1995 independent drama film written and directed by Rebecca Miller, exploring the inner world and imagination of a troubled young girl.
  • D. Angela
    Angela is the central character of the work "His Own Where," around whom the story’s events and themes revolve.
  • E. Angela
    Angela is the given name of Angela Sarafyan, an Armenian-American actress known for her role as Clementine Pennyfeather in the television series "Westworld."
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b039a2a88190865e6a42c830c54d completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aafe1f8081909b9540aca6e7b9b7 completed May 10, 2026, 3:57 p.m.
NEDg Description generation batch_6a00ac0e10648190803bf962a4677104 completed May 10, 2026, 4:02 p.m.
NED2 Entity disambiguation (via description) batch_6a00acc658f881908db64ebfa5a86f84 completed May 10, 2026, 4:05 p.m.
Created at: April 10, 2026, 5:22 a.m.