Triple

T2178859
Position Surface form Disambiguated ID Type / Status
Subject Hal B. Wallis E48993 entity
Predicate spouse P13 FINISHED
Object Louise Fazenda
Louise Fazenda was a prominent American silent film comedian and character actress known for her work in early Hollywood comedies.
E241210 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: Louise Fazenda | Statement: [Hal B. Wallis, spouse, Louise Fazenda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louise Fazenda
Context triple: [Hal B. Wallis, spouse, Louise Fazenda]
  • A. Mariana Keil
    Mariana Keil is known primarily as a daughter of the Portuguese composer and painter Alfredo Keil, who wrote the music for Portugal’s national anthem.
  • B. Laura Lopes
    Laura Lopes is a British art curator and gallery co-founder, best known as the daughter of Queen Camilla and her first husband, Andrew Parker Bowles.
  • C. Juanita Vanoy
    Juanita Vanoy is a former model and Chicago-based real estate professional best known as the ex-wife of basketball legend Michael Jordan.
  • D. Anna Nolin
    Anna Nolin is an American educator and school district leader who serves as superintendent of the Newton Public Schools in Massachusetts.
  • E. Rose Lorkowski
    Rose Lorkowski is the struggling single mother and former high school cheerleader who starts a crime-scene cleanup business in the film "Sunshine Cleaning."
  • 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: Louise Fazenda
Triple: [Hal B. Wallis, spouse, Louise Fazenda]
Generated description
Louise Fazenda was a prominent American silent film comedian and character actress known for her work in early Hollywood comedies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Louise Fazenda
Target entity description: Louise Fazenda was a prominent American silent film comedian and character actress known for her work in early Hollywood comedies.
  • A. Mariana Keil
    Mariana Keil is known primarily as a daughter of the Portuguese composer and painter Alfredo Keil, who wrote the music for Portugal’s national anthem.
  • B. Laura Lopes
    Laura Lopes is a British art curator and gallery co-founder, best known as the daughter of Queen Camilla and her first husband, Andrew Parker Bowles.
  • C. Juanita Vanoy
    Juanita Vanoy is a former model and Chicago-based real estate professional best known as the ex-wife of basketball legend Michael Jordan.
  • D. Anna Nolin
    Anna Nolin is an American educator and school district leader who serves as superintendent of the Newton Public Schools in Massachusetts.
  • E. Rose Lorkowski
    Rose Lorkowski is the struggling single mother and former high school cheerleader who starts a crime-scene cleanup business in the film "Sunshine Cleaning."
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbeefb7648190b8fc57cf60553579 completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5da36db0819093f832d44d228bba completed March 9, 2026, 5:41 a.m.
NEDg Description generation batch_69ae5e4a45a08190bd96af6cda06ab35 completed March 9, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69ae5ec4a35c8190bffc7a183497e764 completed March 9, 2026, 5:46 a.m.
Created at: March 4, 2026, 7:45 p.m.