Triple

T295975
Position Surface form Disambiguated ID Type / Status
Subject Guillermo del Toro E6092 entity
Predicate spouse P13 FINISHED
Object Lorenza Newton
Lorenza Newton is a Mexican art designer and the longtime wife of acclaimed filmmaker Guillermo del Toro.
E139979 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: Lorenza Newton | Statement: [Guillermo del Toro, spouse, Lorenza Newton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorenza Newton
Context triple: [Guillermo del Toro, spouse, Lorenza Newton]
  • A. Claricia Scotti
    Claricia Scotti was a medieval Italian noblewoman known primarily as the mother of Pope Innocent III.
  • B. Katherine Rogers
    Katherine Rogers was the mother of John Harvard, the English clergyman whose bequest helped found Harvard College in colonial Massachusetts.
  • C. Rachel Marron
    Rachel Marron is a famous pop singer and actress who becomes the client and love interest of a former Secret Service agent in the romantic thriller film "The Bodyguard."
  • D. Julia Cumson
    Julia Cumson is a central fictional character in the 1980s American prime-time soap opera "Falcon Crest," known for her complex family ties and dramatic storylines within the powerful Channing dynasty.
  • E. Faye Emerson
    Faye Emerson was an American film and stage actress who became a popular early television personality in the 1940s and 1950s.
  • 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: Lorenza Newton
Triple: [Guillermo del Toro, spouse, Lorenza Newton]
Generated description
Lorenza Newton is a Mexican art designer and the longtime wife of acclaimed filmmaker Guillermo del Toro.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lorenza Newton
Target entity description: Lorenza Newton is a Mexican art designer and the longtime wife of acclaimed filmmaker Guillermo del Toro.
  • A. Claricia Scotti
    Claricia Scotti was a medieval Italian noblewoman known primarily as the mother of Pope Innocent III.
  • B. Katherine Rogers
    Katherine Rogers was the mother of John Harvard, the English clergyman whose bequest helped found Harvard College in colonial Massachusetts.
  • C. Rachel Marron
    Rachel Marron is a famous pop singer and actress who becomes the client and love interest of a former Secret Service agent in the romantic thriller film "The Bodyguard."
  • D. Julia Cumson
    Julia Cumson is a central fictional character in the 1980s American prime-time soap opera "Falcon Crest," known for her complex family ties and dramatic storylines within the powerful Channing dynasty.
  • E. Faye Emerson
    Faye Emerson was an American film and stage actress who became a popular early television personality in the 1940s and 1950s.
  • 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2e979663481908cf9622e59fed041 completed Feb. 28, 2026, 1:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac82de53808190a105311397acfef6 completed March 7, 2026, 7:56 p.m.
NEDg Description generation batch_69ac83f7e00881909675c45e521eb8f1 completed March 7, 2026, 8 p.m.
NED2 Entity disambiguation (via description) batch_69ac84de91fc8190b59c0c34247ea6a9 completed March 7, 2026, 8:04 p.m.
Created at: Feb. 28, 2026, 1:06 p.m.