Triple

T20492980
Position Surface form Disambiguated ID Type / Status
Subject Cuando seas mía E502793 entity
Predicate castMember P1668 FINISHED
Object Paloma Woolrich
Paloma Woolrich is a Mexican actress known for her work in telenovelas, film, and theater.
E1434784 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: Paloma Woolrich | Statement: [Cuando seas mía, castMember, Paloma Woolrich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paloma Woolrich
Context triple: [Cuando seas mía, castMember, Paloma Woolrich]
  • A. Elizabeth Bell
    Elizabeth Bell is known as the wife of American actor Tobin Bell, who is widely recognized for his role as Jigsaw in the "Saw" film series.
  • B. Catherine Wheeler
    Catherine Wheeler is known as the spouse of the late American actor Ed Flanders, who was acclaimed for his work in film, television, and theater.
  • C. Margery Hoffman Smith
    Margery Hoffman Smith was an American interior designer and arts advocate known for her influential work in Pacific Northwest modernism and her leadership in regional arts organizations.
  • D. Emma Wall
    Emma Wall is a child psychiatrist known publicly as the wife of Emmy-winning actor Jeremy Strong.
  • E. Gladys Mitchell
    Gladys Mitchell was a prolific British crime novelist best known for creating the eccentric psychoanalyst detective Mrs. Bradley.
  • 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: Paloma Woolrich
Triple: [Cuando seas mía, castMember, Paloma Woolrich]
Generated description
Paloma Woolrich is a Mexican actress known for her work in telenovelas, film, and theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Paloma Woolrich
Target entity description: Paloma Woolrich is a Mexican actress known for her work in telenovelas, film, and theater.
  • A. Elizabeth Bell
    Elizabeth Bell is known as the wife of American actor Tobin Bell, who is widely recognized for his role as Jigsaw in the "Saw" film series.
  • B. Catherine Wheeler
    Catherine Wheeler is known as the spouse of the late American actor Ed Flanders, who was acclaimed for his work in film, television, and theater.
  • C. Margery Hoffman Smith
    Margery Hoffman Smith was an American interior designer and arts advocate known for her influential work in Pacific Northwest modernism and her leadership in regional arts organizations.
  • D. Emma Wall
    Emma Wall is a child psychiatrist known publicly as the wife of Emmy-winning actor Jeremy Strong.
  • E. Gladys Mitchell
    Gladys Mitchell was a prolific British crime novelist best known for creating the eccentric psychoanalyst detective Mrs. Bradley.
  • 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbb3bd081909351525208b41bba completed April 20, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0893b8a86081908783a9b8cf2dc485 completed May 16, 2026, 3:56 p.m.
NEDg Description generation batch_6a08962f4e3881908df0bb55b6239c86 completed May 16, 2026, 4:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0896b417bc8190963b69f84ea0e3c8 completed May 16, 2026, 4:09 p.m.
Created at: April 16, 2026, 11:35 a.m.