Triple

T9397171
Position Surface form Disambiguated ID Type / Status
Subject The Lighthouse E226171 entity
Predicate editedBy P1954 FINISHED
Object Louise Ford
Louise Ford is a film editor known for her work on acclaimed movies such as the psychological horror film "The Lighthouse."
E891452 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 Ford | Statement: [The Lighthouse, editedBy, Louise Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louise Ford
Context triple: [The Lighthouse, editedBy, Louise Ford]
  • A. Louise Franklin
    Louise Franklin was the wife of British actor George Coulouris, known primarily in relation to his personal life.
  • B. Elsie Ann Ford
    Elsie Ann Ford was an American actress and the mother of actor Robert Downey Jr.
  • C. Constance Ford
    Constance Ford was an American actress best known for her work in mid-20th-century film, television, and soap operas, including a long-running role on "Another World."
  • D. Louise Saunders
    Louise Saunders was an American writer and playwright best known for her marriage to influential editor Maxwell Perkins and for authoring children’s literature and stage works in the early 20th century.
  • E. Estelle Winwood
    Estelle Winwood was a British-born stage and film actress known for her long career in theater and character roles in Hollywood, often playing eccentric or aristocratic older women.
  • 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 Ford
Triple: [The Lighthouse, editedBy, Louise Ford]
Generated description
Louise Ford is a film editor known for her work on acclaimed movies such as the psychological horror film "The Lighthouse."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Louise Ford
Target entity description: Louise Ford is a film editor known for her work on acclaimed movies such as the psychological horror film "The Lighthouse."
  • A. Louise Franklin
    Louise Franklin was the wife of British actor George Coulouris, known primarily in relation to his personal life.
  • B. Elsie Ann Ford
    Elsie Ann Ford was an American actress and the mother of actor Robert Downey Jr.
  • C. Constance Ford
    Constance Ford was an American actress best known for her work in mid-20th-century film, television, and soap operas, including a long-running role on "Another World."
  • D. Louise Saunders
    Louise Saunders was an American writer and playwright best known for her marriage to influential editor Maxwell Perkins and for authoring children’s literature and stage works in the early 20th century.
  • E. Estelle Winwood
    Estelle Winwood was a British-born stage and film actress known for her long career in theater and character roles in Hollywood, often playing eccentric or aristocratic older women.
  • 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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51528b2481908ca1f1840d2594b4 completed April 1, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69dff74d59f88190bbd975521b16ae49 completed April 15, 2026, 8:38 p.m.
NEDg Description generation batch_69e0b498df2481908c964d53b1782774 completed April 16, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_69e11e21fc2c8190878a877ecd3b465e completed April 16, 2026, 5:36 p.m.
Created at: March 30, 2026, 7:46 p.m.