Triple

T428816
Position Surface form Disambiguated ID Type / Status
Subject Burn Gorman E9669 entity
Predicate familyName P18 FINISHED
Object Gorman
Gorman is a surname most notably associated with English actor Burn Gorman, known for his roles in film and television.
E53904 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: Gorman | Statement: [Burn Gorman, familyName, Gorman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gorman
Context triple: [Burn Gorman, familyName, Gorman]
  • A. Garner
    Garner is a surname most notably associated with John Nance Garner, the 32nd vice president of the United States under Franklin D. Roosevelt.
  • B. Stevens
    Stevens is a common English-language surname borne by numerous notable individuals across fields such as sports, politics, arts, and academia.
  • C. Wyatt Tee Walker
    Wyatt Tee Walker was an influential American civil rights leader, close aide to Martin Luther King Jr., and chief strategist and organizer for the Southern Christian Leadership Conference.
  • D. Jones
    Jones is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and science.
  • E. Graham
    Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
  • 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: Gorman
Triple: [Burn Gorman, familyName, Gorman]
Generated description
Gorman is a surname most notably associated with English actor Burn Gorman, known for his roles in film and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gorman
Target entity description: Gorman is a surname most notably associated with English actor Burn Gorman, known for his roles in film and television.
  • A. Garner
    Garner is a surname most notably associated with John Nance Garner, the 32nd vice president of the United States under Franklin D. Roosevelt.
  • B. Stevens
    Stevens is a common English-language surname borne by numerous notable individuals across fields such as sports, politics, arts, and academia.
  • C. Wyatt Tee Walker
    Wyatt Tee Walker was an influential American civil rights leader, close aide to Martin Luther King Jr., and chief strategist and organizer for the Southern Christian Leadership Conference.
  • D. Jones
    Jones is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and science.
  • E. Graham
    Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eeecb64c81908c5c83ef7c0181e6 completed Feb. 28, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69a42f67dc3881908d4b1c2f1fbc2aaa completed March 1, 2026, 12:22 p.m.
NEDg Description generation batch_69a42fdc1edc81908a8c0b82482a9af2 completed March 1, 2026, 12:23 p.m.
NED2 Entity disambiguation (via description) batch_69a4304138bc81909e524ff2567b82b3 completed March 1, 2026, 12:25 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.