Triple

T11482455
Position Surface form Disambiguated ID Type / Status
Subject Romero E272185 entity
Predicate starring P1507 FINISHED
Object Ana Alicia
Ana Alicia is an American actress best known for her role as Melissa Agretti on the 1980s prime-time soap opera "Falcon Crest."
 E929658 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: Ana Alicia | Statement: [Romero, starring, Ana Alicia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ana Alicia
Context triple: [Romero, starring, Ana Alicia]
  • A. María Elena
    María Elena is a small Chilean mining town in the Antofagasta Region, historically known as one of the last nitrate (saltpeter) company towns in the world.
  • B. María Elena
    María Elena is a passionate, volatile Spanish artist portrayed by Penélope Cruz in the film "Vicky Cristina Barcelona."
  • C. Adela Medrano
    Adela Medrano is known as the former wife of acclaimed Spanish film director Carlos Saura.
  • D. Maria Acuña
    Maria Acuña is a central romantic character in the 1942 musical film "You Were Never Lovelier," portrayed as one of the daughters in a wealthy Argentine family whose love life becomes the focus of the story.
  • E. Alma Delia Fuentes
    Alma Delia Fuentes was a Mexican film actress known for her work in mid-20th-century cinema, particularly in socially conscious and neorealist-inspired films.
  • 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: Ana Alicia
Triple: [Romero, starring, Ana Alicia]
Generated description
Ana Alicia is an American actress best known for her role as Melissa Agretti on the 1980s prime-time soap opera "Falcon Crest."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ana Alicia
Target entity description: Ana Alicia is an American actress best known for her role as Melissa Agretti on the 1980s prime-time soap opera "Falcon Crest."
  • A. María Elena
    María Elena is a small Chilean mining town in the Antofagasta Region, historically known as one of the last nitrate (saltpeter) company towns in the world.
  • B. María Elena
    María Elena is a passionate, volatile Spanish artist portrayed by Penélope Cruz in the film "Vicky Cristina Barcelona."
  • C. Adela Medrano
    Adela Medrano is known as the former wife of acclaimed Spanish film director Carlos Saura.
  • D. Maria Acuña
    Maria Acuña is a central romantic character in the 1942 musical film "You Were Never Lovelier," portrayed as one of the daughters in a wealthy Argentine family whose love life becomes the focus of the story.
  • E. Alma Delia Fuentes
    Alma Delia Fuentes was a Mexican film actress known for her work in mid-20th-century cinema, particularly in socially conscious and neorealist-inspired films.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a1d86b88190b180f6b0d0a27029 completed April 10, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e624b12c04819085cc5f7dd64283ca completed April 20, 2026, 1:05 p.m.
NEDg Description generation batch_69e62cf224f881908badcdab6aea1aef completed April 20, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_69e663ffedfc8190a2b51995c62d1e6b completed April 20, 2026, 5:36 p.m.
Created at: April 8, 2026, 9:36 p.m.