Triple
T7072062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Emery |
E164721
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object |
John
John is a common masculine given name of Hebrew origin, widely used in English-speaking countries and borne by numerous notable figures throughout history.
|
E55602
|
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: John | Statement: [John Emery, hasGivenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John Emery, hasGivenName, John]
-
A.
John
John is the given name of John Paul Stevens, a long-serving associate justice of the United States Supreme Court.
-
B.
John
John J. Raskob was an American businessman and financier best known for his executive role at General Motors and for financing and promoting the construction of the Empire State Building.
-
C.
John
John is the given name of John A. Roebling II, an American civil engineer and philanthropist from the prominent Roebling family associated with major bridge construction.
-
D.
John
John is the given name of Sir John Borlase Warren, a prominent British naval officer and politician of the late 18th and early 19th centuries.
-
E.
John
John is the given name of John Francis Dodge, an American automobile pioneer and co-founder of the Dodge Brothers Company.
- 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: John Triple: [John Emery, hasGivenName, John]
Generated description
John is a common masculine given name of Hebrew origin, widely used in English-speaking countries and borne by numerous notable figures throughout history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is a common masculine given name of Hebrew origin, widely used in English-speaking countries and borne by numerous notable figures throughout history.
-
A.
John
chosen
John is a masculine given name of Hebrew origin, widely used in English-speaking countries and borne by numerous historical and contemporary figures.
-
B.
John
John is the given name of John Lennon, the iconic English singer-songwriter and co-founder of The Beatles.
-
C.
John
John is the given name of the influential English philosopher John Locke, a key figure in empiricism and liberal political theory.
-
D.
John
John is the given name of American actor John Goodman, renowned for his roles in film, television, and theater.
-
E.
John
John is the given name of English actor and musician John Simm, known for roles in series such as "Life on Mars" and "Doctor Who."
- 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4c9cdbc8190b91cd3b4eef58eb6 |
completed | March 27, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79c8a1d788190b9ad25d6e6c460f7 |
completed | March 28, 2026, 9:16 a.m. |
| NEDg | Description generation | batch_69c79d7f00ac8190aa288fe93a3e577a |
completed | March 28, 2026, 9:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c79e30940c8190a1bcebc840a4990f |
completed | March 28, 2026, 9:24 a.m. |
Created at: March 27, 2026, 2:39 p.m.