Triple

T1099137
Position Surface form Disambiguated ID Type / Status
Subject William C. deMille E24338 entity
Predicate familyName P18 FINISHED
Object deMille
deMille is a notable American family name most famously associated with influential early 20th-century film directors and screenwriters in Hollywood.
 E125949 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: deMille | Statement: [William C. deMille, familyName, deMille]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: deMille
Context triple: [William C. deMille, familyName, deMille]
  • A. Dayman
    Dayman is a fictional heroic persona from "It's Always Sunny in Philadelphia," featured in the show's satirical musical storyline.
  • B. Mr. Director
    Mr. Director is the formal style of address used for the Cabinet-level head of the United States Office of Management and Budget.
  • C. Darrow
    Darrow is a surname most famously associated with Clarence Darrow, the prominent American lawyer and civil libertarian known for high-profile cases in the early 20th century.
  • D. Dreyfuss
    Dreyfuss is a surname most prominently associated with American actor Richard Dreyfuss, known for his roles in films such as "Jaws" and "Close Encounters of the Third Kind."
  • E. Millar
    Millar is a surname and variant spelling of Miller, commonly found in English-speaking countries.
  • 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: deMille
Triple: [William C. deMille, familyName, deMille]
Generated description
deMille is a notable American family name most famously associated with influential early 20th-century film directors and screenwriters in Hollywood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: deMille
Target entity description: deMille is a notable American family name most famously associated with influential early 20th-century film directors and screenwriters in Hollywood.
  • A. Dayman
    Dayman is a fictional heroic persona from "It's Always Sunny in Philadelphia," featured in the show's satirical musical storyline.
  • B. Mr. Director
    Mr. Director is the formal style of address used for the Cabinet-level head of the United States Office of Management and Budget.
  • C. Darrow
    Darrow is a surname most famously associated with Clarence Darrow, the prominent American lawyer and civil libertarian known for high-profile cases in the early 20th century.
  • D. Dreyfuss
    Dreyfuss is a surname most prominently associated with American actor Richard Dreyfuss, known for his roles in films such as "Jaws" and "Close Encounters of the Third Kind."
  • E. Millar
    Millar is a surname and variant spelling of Miller, commonly found in English-speaking countries.
  • 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9bd4eec819094fe09e13b7b07b8 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c449e748190883cb7b9ba103d76 completed March 7, 2026, 4:03 p.m.
NEDg Description generation batch_69ac4cc47f808190a941b251715b4d64 completed March 7, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_69ac4d6650f88190b9d4ee2fd5bc2f37 completed March 7, 2026, 4:08 p.m.
Created at: March 1, 2026, 7:43 p.m.