Triple

T11776435
Position Surface form Disambiguated ID Type / Status
Subject To the Lighthouse E280030 entity
Predicate hasCharacter P2308 FINISHED
Object Cam Ramsay
Cam Ramsay is a fictional character in Virginia Woolf’s novel "To the Lighthouse," one of the Ramsay children whose inner life reflects the book’s themes of memory, perception, and family dynamics.
 E946024 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: Cam Ramsay | Statement: [To the Lighthouse, hasCharacter, Cam Ramsay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cam Ramsay
Context triple: [To the Lighthouse, hasCharacter, Cam Ramsay]
  • A. Phil Drummond
    Phil Drummond is a British electronic music producer and DJ known for his work in the house and dance music scenes.
  • B. Don Murray
    Don Murray is an American actor best known for his Oscar-nominated film debut in the 1956 drama "Bus Stop" opposite Marilyn Monroe.
  • C. Greg McEwan
    Greg McEwan is a child of the acclaimed British novelist Ian McEwan.
  • D. Tom Cousins
    Tom Cousins is an American real estate developer and philanthropist best known in sports for owning the NHL’s Atlanta Flames franchise in the 1970s.
  • E. Malcolm Ross
    Malcolm Ross is a linguist known for his influential work on the classification and historical relationships of Papuan and Oceanic languages, particularly in the Northwest Solomonic region.
  • 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: Cam Ramsay
Triple: [To the Lighthouse, hasCharacter, Cam Ramsay]
Generated description
Cam Ramsay is a fictional character in Virginia Woolf’s novel "To the Lighthouse," one of the Ramsay children whose inner life reflects the book’s themes of memory, perception, and family dynamics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cam Ramsay
Target entity description: Cam Ramsay is a fictional character in Virginia Woolf’s novel "To the Lighthouse," one of the Ramsay children whose inner life reflects the book’s themes of memory, perception, and family dynamics.
  • A. Phil Drummond
    Phil Drummond is a British electronic music producer and DJ known for his work in the house and dance music scenes.
  • B. Don Murray
    Don Murray is an American actor best known for his Oscar-nominated film debut in the 1956 drama "Bus Stop" opposite Marilyn Monroe.
  • C. Greg McEwan
    Greg McEwan is a child of the acclaimed British novelist Ian McEwan.
  • D. Tom Cousins
    Tom Cousins is an American real estate developer and philanthropist best known in sports for owning the NHL’s Atlanta Flames franchise in the 1970s.
  • E. Malcolm Ross
    Malcolm Ross is a linguist known for his influential work on the classification and historical relationships of Papuan and Oceanic languages, particularly in the Northwest Solomonic region.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a55f415081908eec78cb2c956598 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f090a95a908190a99e579e51cbeb4a completed April 28, 2026, 10:49 a.m.
NEDg Description generation batch_69f0bd3e585481908223acfd780a72a2 completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef31076c8190b33a6a2778d7ffbb completed April 28, 2026, 5:32 p.m.
Created at: April 8, 2026, 9:42 p.m.