Triple

T9483215
Position Surface form Disambiguated ID Type / Status
Subject Arleigh Burke E228696 entity
Predicate givenName P17 FINISHED
Object Arleigh
Arleigh is a given name most notably associated with U.S. Navy Admiral Arleigh Burke, a prominent World War II destroyer squadron commander and later Chief of Naval Operations.
 E802562 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: Arleigh | Statement: [Arleigh Burke, givenName, Arleigh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arleigh
Context triple: [Arleigh Burke, givenName, Arleigh]
  • A. Geary
    Geary is a small crofting settlement on the Waternish peninsula of the Isle of Skye in Scotland.
  • B. Fletcher
    Fletcher is a surname of English origin borne by numerous notable individuals across fields such as the military, politics, arts, and sports.
  • C. McKeen
    McKeen is a surname that functions as a variant spelling of the name McKean, commonly of Irish or Scottish origin.
  • D. Stoddert
    Stoddert is the middle name of Richard S. Ewell, a Confederate lieutenant general who served prominently in the American Civil War.
  • E. Morison
    Morison is a surname most notably associated with Samuel Eliot Morison, the Pulitzer Prize–winning American historian and naval officer.
  • 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: Arleigh
Triple: [Arleigh Burke, givenName, Arleigh]
Generated description
Arleigh is a given name most notably associated with U.S. Navy Admiral Arleigh Burke, a prominent World War II destroyer squadron commander and later Chief of Naval Operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arleigh
Target entity description: Arleigh is a given name most notably associated with U.S. Navy Admiral Arleigh Burke, a prominent World War II destroyer squadron commander and later Chief of Naval Operations.
  • A. Geary
    Geary is a small crofting settlement on the Waternish peninsula of the Isle of Skye in Scotland.
  • B. Fletcher
    Fletcher is a surname of English origin borne by numerous notable individuals across fields such as the military, politics, arts, and sports.
  • C. McKeen
    McKeen is a surname that functions as a variant spelling of the name McKean, commonly of Irish or Scottish origin.
  • D. Stoddert
    Stoddert is the middle name of Richard S. Ewell, a Confederate lieutenant general who served prominently in the American Civil War.
  • E. Morison
    Morison is a surname most notably associated with Samuel Eliot Morison, the Pulitzer Prize–winning American historian and naval officer.
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd804c859081908c261ad16b501f0d completed April 1, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d0620608190a6697777ec2eec26 completed April 4, 2026, 3:23 p.m.
NEDg Description generation batch_69d12db5c20881909a7011a3d25dd2b8 completed April 4, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69d12e4f1b9081908e73aa674d1ef0e4 completed April 4, 2026, 3:29 p.m.
Created at: March 30, 2026, 7:55 p.m.