Triple

T13581353
Position Surface form Disambiguated ID Type / Status
Subject Megan Leavey E324424 entity
Predicate familyName P18 FINISHED
Object Leavey
Leavey is a surname most notably associated with Megan Leavey, a former U.S. Marine corporal known for her service as a military dog handler in Iraq.
 E1048297 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: Leavey | Statement: [Megan Leavey, familyName, Leavey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leavey
Context triple: [Megan Leavey, familyName, Leavey]
  • A. Shriever
    Shriever is a surname, a variant spelling of "Shriver," borne by various individuals of English-speaking origin.
  • B. Ryen
    Ryen is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local amenities, and good public transport connections.
  • C. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • D. Lee
    Lee is a residential district in southeast London known for its suburban character, green spaces, and Victorian and Edwardian housing.
  • E. Weeley
    Weeley is a small village and civil parish in the Tendring district of Essex, England, known for its rural character and proximity to the Essex coast.
  • 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: Leavey
Triple: [Megan Leavey, familyName, Leavey]
Generated description
Leavey is a surname most notably associated with Megan Leavey, a former U.S. Marine corporal known for her service as a military dog handler in Iraq.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leavey
Target entity description: Leavey is a surname most notably associated with Megan Leavey, a former U.S. Marine corporal known for her service as a military dog handler in Iraq.
  • A. Shriever
    Shriever is a surname, a variant spelling of "Shriver," borne by various individuals of English-speaking origin.
  • B. Ryen
    Ryen is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local amenities, and good public transport connections.
  • C. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • D. Lee
    Lee is a residential district in southeast London known for its suburban character, green spaces, and Victorian and Edwardian housing.
  • E. Weeley
    Weeley is a small village and civil parish in the Tendring district of Essex, England, known for its rural character and proximity to the Essex coast.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb031e8048190a5f2ea934308036c completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bbf946c8190ba3d2b87cb11dc9d completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f77642e4b881909915c686a0d6c6fa completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f7791add908190af69b23a54eb7560 completed May 3, 2026, 4:34 p.m.
Created at: April 9, 2026, 9:48 p.m.