Triple

T619950
Position Surface form Disambiguated ID Type / Status
Subject Fred Niblo E14488 entity
Predicate spouse P13 FINISHED
Object Enid Bennett
Enid Bennett was an Australian-born silent film actress who became a popular leading lady in early Hollywood cinema.
E210971 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: Enid Bennett | Statement: [Fred Niblo, spouse, Enid Bennett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enid Bennett
Context triple: [Fred Niblo, spouse, Enid Bennett]
  • A. Frances Penney
    Frances Penney was the wife of Canadian physician and humanitarian Norman Bethune, accompanying parts of his medical and political journey in the early 20th century.
  • B. Aileen Britton
    Aileen Britton was an Australian actress known for her work in film, television, and theatre during the mid-20th century.
  • C. Frances Rudge
    Frances Rudge was the wife of influential American film and theatre director Elia Kazan.
  • D. Helen Melland
    Helen Melland was the wife of British Prime Minister Herbert Henry Asquith and a member of the English upper-middle class in the late 19th century.
  • E. Ellen Yates
    Ellen Yates was the mother of Sir Robert Peel, the influential 19th-century British Prime Minister and founder of the modern police force.
  • 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: Enid Bennett
Triple: [Fred Niblo, spouse, Enid Bennett]
Generated description
Enid Bennett was an Australian-born silent film actress who became a popular leading lady in early Hollywood cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Enid Bennett
Target entity description: Enid Bennett was an Australian-born silent film actress who became a popular leading lady in early Hollywood cinema.
  • A. Frances Penney
    Frances Penney was the wife of Canadian physician and humanitarian Norman Bethune, accompanying parts of his medical and political journey in the early 20th century.
  • B. Aileen Britton
    Aileen Britton was an Australian actress known for her work in film, television, and theatre during the mid-20th century.
  • C. Frances Rudge
    Frances Rudge was the wife of influential American film and theatre director Elia Kazan.
  • D. Helen Melland
    Helen Melland was the wife of British Prime Minister Herbert Henry Asquith and a member of the English upper-middle class in the late 19th century.
  • E. Ellen Yates
    Ellen Yates was the mother of Sir Robert Peel, the influential 19th-century British Prime Minister and founder of the modern police force.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e270b448190beb677670443b5b6 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69adeaaaad508190992c7b50e9397450 completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeb1ee4648190afd50782988b115c completed March 8, 2026, 9:33 p.m.
NED2 Entity disambiguation (via description) batch_69adeb9f28dc8190a0493a72153c60e6 completed March 8, 2026, 9:35 p.m.
Created at: March 1, 2026, 7:35 p.m.