Triple

T1465891
Position Surface form Disambiguated ID Type / Status
Subject George Bannerman Dealey E27020 entity
Predicate familyName P18 FINISHED
Object Dealey
Dealey is a surname most notably associated with George Bannerman Dealey, a prominent newspaper publisher and civic leader in Dallas, Texas.
 E1293 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: Dealey | Statement: [George Bannerman Dealey, familyName, Dealey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dealey
Context triple: [George Bannerman Dealey, familyName, Dealey]
  • A. Dealey Plaza
    Dealey Plaza is a historic public square in downtown Dallas best known as the site of President John F. Kennedy’s assassination in 1963.
  • B. Daley
    Daley is a prominent American political surname most famously associated with the longtime Chicago mayoral family.
  • C. Riggs
    Riggs is a surname most notably associated with American playwright Lynn Riggs, whose work inspired the musical "Oklahoma!".
  • D. Lyndon
    Lyndon is a masculine given name most famously borne by Lyndon B. Johnson, the 36th president of the United States.
  • E. Kilpatrick
    Kilpatrick is a surname of Scottish and Irish origin, often considered a variant of Kirkpatrick, and borne by various notable figures in politics, the military, and the arts.
  • 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: Dealey
Triple: [George Bannerman Dealey, familyName, Dealey]
Generated description
Dealey is a surname most notably associated with George Bannerman Dealey, a prominent newspaper publisher and civic leader in Dallas, Texas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dealey
Target entity description: Dealey is a surname most notably associated with George Bannerman Dealey, a prominent newspaper publisher and civic leader in Dallas, Texas.
  • A. Dealey Plaza chosen
    Dealey Plaza is a historic public square in downtown Dallas best known as the site of President John F. Kennedy’s assassination in 1963.
  • B. Daley
    Daley is a prominent American political surname most famously associated with the longtime Chicago mayoral family.
  • C. Riggs
    Riggs is a surname most notably associated with American playwright Lynn Riggs, whose work inspired the musical "Oklahoma!".
  • D. Lyndon
    Lyndon is a masculine given name most famously borne by Lyndon B. Johnson, the 36th president of the United States.
  • E. Kilpatrick
    Kilpatrick is a surname of Scottish and Irish origin, often considered a variant of Kirkpatrick, and borne by various notable figures in politics, the military, and the arts.
  • F. None of above.

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_69a496d25d6881909dbd84f86d763992 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c5bb4e288190997c7e8985e9a2bd completed March 1, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e7c8a608190b3ca574c118e89b5 completed March 8, 2026, 5:51 a.m.
NEDg Description generation batch_69ad0f462d708190afa0c2df1e043946 completed March 8, 2026, 5:55 a.m.
NED2 Entity disambiguation (via description) batch_69ad0fb331e881908455844135bb3208 completed March 8, 2026, 5:57 a.m.
Created at: March 1, 2026, 8:01 p.m.