Triple

T14822187
Position Surface form Disambiguated ID Type / Status
Subject Lola Ray Facinelli E348477 entity
Predicate middleName P143 FINISHED
Object Ray
Ray is the middle name of Lola Ray Facinelli, a member of the Facinelli family.
E1122878 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: Ray | Statement: [Lola Ray Facinelli, middleName, Ray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray
Context triple: [Lola Ray Facinelli, middleName, Ray]
  • A. Ray
    Ray is an open-source distributed computing framework designed to scale Python applications for tasks like machine learning, reinforcement learning, and data processing across clusters.
  • B. Ray
    Ray is the central figure in Claude McKay’s novel "Home to Harlem," embodying the intellectual, conflicted perspective on Black identity and urban life during the Harlem Renaissance.
  • C. Ray
    Ray is the protagonist of the novel "The Keep," around whom the story’s central psychological and narrative tensions revolve.
  • D. Ray
    Ray is the optimistic Cajun firefly from Disney’s *The Princess and the Frog*, known for his devotion to his love “Evangeline” and his role in aiding Tiana and Naveen.
  • E. Ray
    Ray is the romantic, Cajun firefly character from Disney’s animated film "The Princess and the Frog," known for his heartfelt song "Ma Belle Evangeline."
  • 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: Ray
Triple: [Lola Ray Facinelli, middleName, Ray]
Generated description
Ray is the middle name of Lola Ray Facinelli, a member of the Facinelli family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ray
Target entity description: Ray is the middle name of Lola Ray Facinelli, a member of the Facinelli family.
  • A. Ray
    Ray is a masculine given name commonly used in English-speaking countries, often as a short form of Raymond.
  • B. Ray
    Ray is the optimistic Cajun firefly from Disney’s *The Princess and the Frog*, known for his devotion to his love “Evangeline” and his role in aiding Tiana and Naveen.
  • C. Ray
    Ray is a surname of English and Scottish origin borne by various notable individuals across different fields.
  • D. Ray
    Ray is the romantic, Cajun firefly character from Disney’s animated film "The Princess and the Frog," known for his heartfelt song "Ma Belle Evangeline."
  • E. Ray
    Ray is the protagonist of the novel "The Keep," around whom the story’s central psychological and narrative tensions revolve.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe64328819083ce42704cf0602d completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389d7c848190813be06bed7813d7 completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe5bc7e6848190a243bcfccaea3a37 completed May 8, 2026, 9:55 p.m.
NED2 Entity disambiguation (via description) batch_69fe5c271c6c8190bb4127cdf8af6647 completed May 8, 2026, 9:56 p.m.
Created at: April 10, 2026, 1:51 a.m.