Triple

T14121077
Position Surface form Disambiguated ID Type / Status
Subject Dean DeBlois E339906 entity
Predicate familyName P18 FINISHED
Object DeBlois
DeBlois is a French-origin surname borne by various notable individuals, including filmmakers and public figures.
E1081169 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: DeBlois | Statement: [Dean DeBlois, familyName, DeBlois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DeBlois
Context triple: [Dean DeBlois, familyName, DeBlois]
  • A. Chenault
    Chenault is a free-spirited, alluring young woman who becomes the love interest of journalist Paul Kemp in Hunter S. Thompson’s novel (and film adaptation) *The Rum Diary*.
  • B. Bressant
    Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
  • C. Freser
    Freser is a river in Catalonia, Spain, known for flowing through the Pyrenees and joining the Ter River.
  • D. Finklea
    Finklea is the birth surname of American actress and dancer Cyd Charisse, known for her roles in classic Hollywood musicals.
  • E. Ebersole
    Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
  • 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: DeBlois
Triple: [Dean DeBlois, familyName, DeBlois]
Generated description
DeBlois is a French-origin surname borne by various notable individuals, including filmmakers and public figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DeBlois
Target entity description: DeBlois is a French-origin surname borne by various notable individuals, including filmmakers and public figures.
  • A. Chenault
    Chenault is a free-spirited, alluring young woman who becomes the love interest of journalist Paul Kemp in Hunter S. Thompson’s novel (and film adaptation) *The Rum Diary*.
  • B. Bressant
    Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
  • C. Freser
    Freser is a river in Catalonia, Spain, known for flowing through the Pyrenees and joining the Ter River.
  • D. Finklea
    Finklea is the birth surname of American actress and dancer Cyd Charisse, known for her roles in classic Hollywood musicals.
  • E. Ebersole
    Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de60942a588190beff0058a92f7051 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf07feb48190b7519204b4f789b4 completed May 7, 2026, 6:50 p.m.
NEDg Description generation batch_69fce0f2dcc48190952ea89af5c809d7 completed May 7, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69fce1792ae48190a9379abff92f0f9e completed May 7, 2026, 7:01 p.m.
Created at: April 9, 2026, 10:22 p.m.