Triple

T6723420
Position Surface form Disambiguated ID Type / Status
Subject Cristeta Comerford E153451 entity
Predicate givenName P17 FINISHED
Object Cristeta
Cristeta is a Filipina-American chef best known as the longtime White House Executive Chef.
 E613591 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: Cristeta | Statement: [Cristeta Comerford, givenName, Cristeta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cristeta
Context triple: [Cristeta Comerford, givenName, Cristeta]
  • A. Enma Castro
    Enma Castro is a member of the Castro family of Cuba, known primarily as a sister of revolutionary leaders Raúl and Fidel Castro.
  • B. Amada Cruz
    Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
  • C. Cayetana
    Cayetana is the given name of Cayetana Fitz-James Stuart, the 18th Duchess of Alba, a prominent Spanish aristocrat known for holding a record number of noble titles.
  • D. Cristina
    Cristina is a Spanish infanta and member of the Spanish royal family, known as the daughter of former King Juan Carlos I and Queen Sofía.
  • E. Cristina
    Cristina is one of the two free-spirited American women at the center of Woody Allen’s romantic drama film "Vicky Cristina Barcelona."
  • 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: Cristeta
Triple: [Cristeta Comerford, givenName, Cristeta]
Generated description
Cristeta is a Filipina-American chef best known as the longtime White House Executive Chef.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cristeta
Target entity description: Cristeta is a Filipina-American chef best known as the longtime White House Executive Chef.
  • A. Enma Castro
    Enma Castro is a member of the Castro family of Cuba, known primarily as a sister of revolutionary leaders Raúl and Fidel Castro.
  • B. Amada Cruz
    Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
  • C. Cayetana
    Cayetana is the given name of Cayetana Fitz-James Stuart, the 18th Duchess of Alba, a prominent Spanish aristocrat known for holding a record number of noble titles.
  • D. Cristina
    Cristina is a Spanish infanta and member of the Spanish royal family, known as the daughter of former King Juan Carlos I and Queen Sofía.
  • E. Cristina
    Cristina is the wife of Brazilian basketball legend Oscar Schmidt.
  • 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_69c6880afb988190ad88011b48ecfcba completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d13b296c8190bf54009063032c6d completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700a34e248190ba9d73437b19a96d completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c703ad7e0c81908da32c96806f3b07 completed March 27, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69c7042f23408190b06faafcb3251276 completed March 27, 2026, 10:26 p.m.
Created at: March 27, 2026, 2:08 p.m.