Triple

T1301235
Position Surface form Disambiguated ID Type / Status
Subject Jeffrey Loria E27767 entity
Predicate familyName P18 FINISHED
Object Loria
Loria is a surname most prominently associated with Jeffrey Loria, an American art dealer and former owner of Major League Baseball’s Miami Marlins.
 E149563 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: Loria | Statement: [Jeffrey Loria, familyName, Loria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Loria
Context triple: [Jeffrey Loria, familyName, Loria]
  • A. Bertramus
    Bertramus is a Latinized variant of the given name Bertram, historically used in medieval and ecclesiastical contexts.
  • B. Lanman
    Lanman is a surname most notably associated with American philanthropist William K. Lanman Jr., a major benefactor of Yale University.
  • C. Micali
    Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
  • D. Alphand
    Alphand is a French surname most notably borne by Jean-Charles Adolphe Alphand, a 19th-century engineer known for designing many of Paris’s parks and boulevards.
  • E. Redfield
    Redfield is a surname of English origin borne by various notable individuals across fields such as politics, science, 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: Loria
Triple: [Jeffrey Loria, familyName, Loria]
Generated description
Loria is a surname most prominently associated with Jeffrey Loria, an American art dealer and former owner of Major League Baseball’s Miami Marlins.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Loria
Target entity description: Loria is a surname most prominently associated with Jeffrey Loria, an American art dealer and former owner of Major League Baseball’s Miami Marlins.
  • A. Bertramus
    Bertramus is a Latinized variant of the given name Bertram, historically used in medieval and ecclesiastical contexts.
  • B. Lanman
    Lanman is a surname most notably associated with American philanthropist William K. Lanman Jr., a major benefactor of Yale University.
  • C. Micali
    Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
  • D. Alphand
    Alphand is a French surname most notably borne by Jean-Charles Adolphe Alphand, a 19th-century engineer known for designing many of Paris’s parks and boulevards.
  • E. Vinton
    Vinton is the given name of Vinton Cerf, an American computer scientist widely recognized as one of the "fathers of the Internet."
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c1145c2481908adf22dfd6ce349b completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb30292dc8190a33fd62c997c3f1b completed March 7, 2026, 11:21 p.m.
NEDg Description generation batch_69acb42dd7488190935d289907e5ed91 completed March 7, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_69acb48a873081909a9d4d27ed8b7a7a completed March 7, 2026, 11:28 p.m.
Created at: March 1, 2026, 7:51 p.m.