Triple

T6101470
Position Surface form Disambiguated ID Type / Status
Subject Blanche Devereaux E136006 entity
Predicate hasChild P369 FINISHED
Object David Devereaux
David Devereaux is a minor fictional character from the television sitcom "The Golden Girls," known primarily as the son of Blanche Devereaux.
E571782 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: David Devereaux | Statement: [Blanche Devereaux, hasChild, David Devereaux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Devereaux
Context triple: [Blanche Devereaux, hasChild, David Devereaux]
  • A. George Devereaux
    George Devereaux is the late husband of Blanche Devereaux, a character referenced in the television sitcom "The Golden Girls."
  • B. Charlie Deveraux
    Charlie Deveraux is an individual known primarily through their association as a friend of John Tate.
  • C. William Hathaway
    William Hathaway was a Democratic U.S. Senator and Representative from Maine who served in Congress during the 1960s and 1970s.
  • D. John Howland
    John Howland was an English colonist and Mayflower passenger who became a prominent early settler and leader in Plymouth Colony.
  • E. John Maraganore
    John Maraganore is a biotechnology executive best known as the founding CEO of Alnylam Pharmaceuticals and a pioneer in the development of RNA interference (RNAi) therapeutics.
  • 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: David Devereaux
Triple: [Blanche Devereaux, hasChild, David Devereaux]
Generated description
David Devereaux is a minor fictional character from the television sitcom "The Golden Girls," known primarily as the son of Blanche Devereaux.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David Devereaux
Target entity description: David Devereaux is a minor fictional character from the television sitcom "The Golden Girls," known primarily as the son of Blanche Devereaux.
  • A. George Devereaux
    George Devereaux is the late husband of Blanche Devereaux, a character referenced in the television sitcom "The Golden Girls."
  • B. Charlie Deveraux
    Charlie Deveraux is an individual known primarily through their association as a friend of John Tate.
  • C. William Hathaway
    William Hathaway was a Democratic U.S. Senator and Representative from Maine who served in Congress during the 1960s and 1970s.
  • D. John Howland
    John Howland was an English colonist and Mayflower passenger who became a prominent early settler and leader in Plymouth Colony.
  • E. John Maraganore
    John Maraganore is a biotechnology executive best known as the founding CEO of Alnylam Pharmaceuticals and a pioneer in the development of RNA interference (RNAi) therapeutics.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b3aa9908190865be98ada141d37 completed March 22, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1359334c081909653603633ba9c06 completed March 23, 2026, 12:44 p.m.
NEDg Description generation batch_69c138cfc1dc81908a4dcd2c13e42528 completed March 23, 2026, 12:57 p.m.
NED2 Entity disambiguation (via description) batch_69c139b3ebbc81909111413ca2dbc10d completed March 23, 2026, 1:01 p.m.
Created at: March 22, 2026, 4:13 p.m.