Triple
T7683145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John MacArthur (pastor) |
E174043
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is a common masculine given name of Hebrew origin, widely used in English-speaking countries and borne by numerous historical, religious, and cultural figures.
|
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 MacArthur (pastor), givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John MacArthur (pastor), givenName, John]
-
A.
John
John is the given first name of J. Edgar Hoover, the long-serving and influential first director of the United States Federal Bureau of Investigation (FBI).
-
B.
John
John is the given name of the late American comedian and actor John Belushi, famed for his work on "Saturday Night Live" and in films like "Animal House" and "The Blues Brothers."
-
C.
John
John is the given name of American businessman and philanthropist John D. MacArthur, one of the wealthiest men in the United States during his lifetime and co-founder of the MacArthur Foundation.
-
D.
John
John is the given name of the British mathematician J. W. S. Cassels, known for his influential work in number theory and Diophantine approximation.
-
E.
John
John is the first name of J. A. L. Waddell, a historical figure likely known for professional or scholarly contributions under his initials.
- 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 MacArthur (pastor), givenName, John]
Generated description
John is a common masculine given name of Hebrew origin, widely used in English-speaking countries and borne by numerous historical, religious, and cultural figures.
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 historical, religious, and cultural figures.
-
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 John Houseman, the Romanian-born British-American actor and producer known for his work in film, theater, and radio.
-
E.
John
John is the given name of American actor John Goodman, renowned for his roles in film, television, and theater.
- 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7021ce1308190be58d17ebaafa6ae |
completed | March 27, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b4fa4f9c8190a1cd2c1aa173296d |
completed | March 29, 2026, 5:13 a.m. |
| NEDg | Description generation | batch_69c8b66649108190bb8f925c6e182acc |
completed | March 29, 2026, 5:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8b69fe09c81909de760d087c69a2a |
completed | March 29, 2026, 5:20 a.m. |
Created at: March 27, 2026, 4:01 p.m.