Triple

T12438846
Position Surface form Disambiguated ID Type / Status
Subject Donnie E297217 entity
Predicate grandfatherInLaw P85496 FINISHED
Object Duke Evers
Duke Evers is a man known primarily as the grandfather-in-law of Donnie.
E983981 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: Duke Evers | Statement: [Donnie, grandfatherInLaw, Duke Evers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duke Evers
Context triple: [Donnie, grandfatherInLaw, Duke Evers]
  • A. Thomas Duke
    Thomas Duke is the son of American astronaut and Apollo 16 lunar module pilot Charles M. Duke Jr.
  • B. Charles Seymour
    Charles Seymour was an American historian and academic leader who served as president of Yale University in the mid-20th century.
  • C. Duke L.J.
    Duke L.J. is the standard abbreviation for the Duke Law Journal, a leading scholarly publication of Duke University School of Law.
  • D. Robert Dukes
    Robert Dukes is an author best known for writing the second installment of the "Bound" series.
  • E. David Dukes
    David Dukes was an American character actor known for his extensive work in film, television, and theater from the 1970s through the 1990s.
  • 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: Duke Evers
Triple: [Donnie, grandfatherInLaw, Duke Evers]
Generated description
Duke Evers is a man known primarily as the grandfather-in-law of Donnie.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Duke Evers
Target entity description: Duke Evers is a man known primarily as the grandfather-in-law of Donnie.
  • A. Thomas Duke
    Thomas Duke is the son of American astronaut and Apollo 16 lunar module pilot Charles M. Duke Jr.
  • B. Charles Seymour
    Charles Seymour was an American historian and academic leader who served as president of Yale University in the mid-20th century.
  • C. Duke L.J.
    Duke L.J. is the standard abbreviation for the Duke Law Journal, a leading scholarly publication of Duke University School of Law.
  • D. Robert Dukes
    Robert Dukes is an author best known for writing the second installment of the "Bound" series.
  • E. David Dukes
    David Dukes was an American character actor known for his extensive work in film, television, and theater from the 1970s through the 1990s.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8dc0f881908a3da736d8947ce1 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f0911a08190ba84a20950762e68 completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f640ef7dd08190bf78d04cffac1a44 completed May 2, 2026, 6:22 p.m.
NED2 Entity disambiguation (via description) batch_69f641abe114819093d99a327f2220c2 completed May 2, 2026, 6:25 p.m.
Created at: April 8, 2026, 9:55 p.m.