Triple

T14808063
Position Surface form Disambiguated ID Type / Status
Subject Alexander Jonathan Gordon E348092 entity
Predicate middleName P143 FINISHED
Object Jonathan
Jonathan is a given name of Hebrew origin commonly used for males in many English-speaking and other cultures.
E44008 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: Jonathan | Statement: [Alexander Jonathan Gordon, middleName, Jonathan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan
Context triple: [Alexander Jonathan Gordon, middleName, Jonathan]
  • A. John
    John is the birth name of American singer-songwriter and producer Teddy Geiger, known for writing and producing hits for artists like Shawn Mendes.
  • B. John
    John I, Count of Holland, was a medieval nobleman who ruled the County of Holland at the turn of the 14th century.
  • C. John
    John McDowell is a prominent South African-born philosopher known for his influential work in epistemology, philosophy of mind, and ethics.
  • D. John
    John Cicero was a late 15th-century Elector of Brandenburg from the House of Hohenzollern who helped consolidate the territory’s political and administrative structures within the Holy Roman Empire.
  • E. John
    John is the given name of Sir John Lennard-Jones, a pioneering British theoretical chemist known for his work on intermolecular forces and the Lennard-Jones potential.
  • 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: Jonathan
Triple: [Alexander Jonathan Gordon, middleName, Jonathan]
Generated description
Jonathan is a given name of Hebrew origin commonly used for males in many English-speaking and other cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jonathan
Target entity description: Jonathan is a given name of Hebrew origin commonly used for males in many English-speaking and other cultures.
  • A. Jonathan chosen
    Jonathan is a common masculine given name of Hebrew origin, meaning "Yahweh has given."
  • B. Jonathan
    Jonathan is the surname of Goodluck Jonathan, the former President of Nigeria.
  • C. Jeffrey
    "Jeffrey" is a comedic stage play by Paul Rudnick that follows a gay man in New York City navigating love and relationships during the height of the AIDS crisis.
  • D. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • E. Jeremy
    Jeremy is one of the central male protagonists in the romantic comedy film "Think Like a Man," which follows a group of men whose relationships are upended when their partners start using advice from Steve Harvey’s dating book.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf33b6a08190ab6a4cfeda2cc09c completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c8bc6881908736c029943997ae completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe28222dc48190bca61ea273172950 completed May 8, 2026, 6:14 p.m.
NED2 Entity disambiguation (via description) batch_69fe28ba11a4819092e13669c53e6ecd completed May 8, 2026, 6:17 p.m.
Created at: April 10, 2026, 1:44 a.m.