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.