Triple
T8331184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Howard Yoder |
E195076
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of John Howard Yoder, an influential American Mennonite theologian known for his work on Christian pacifism and ethics.
|
E727931
|
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 Howard Yoder, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John Howard Yoder, 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 the influential American jazz saxophonist and composer John Coltrane.
-
D.
John
John is the given name of John Stevens Henslow, the 19th-century English clergyman, botanist, and mentor to Charles Darwin.
-
E.
John
John is the birth name of American character actor Jack Warden, known for his prolific film and television career in the mid-20th century.
- 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 Howard Yoder, givenName, John]
Generated description
John is the given name of John Howard Yoder, an influential American Mennonite theologian known for his work on Christian pacifism and ethics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given name of John Howard Yoder, an influential American Mennonite theologian known for his work on Christian pacifism and ethics.
-
A.
John
John is the given name of John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation known for his advocacy of digital rights.
-
B.
John
John is the given name of John Fletcher Hurst, an American Methodist bishop and theologian known for his contributions to religious scholarship in the 19th century.
-
C.
John
John is the given name of the influential American political philosopher John Rawls, known for his theory of justice as fairness.
-
D.
John
John is the given name of John Stott, a prominent 20th-century English Anglican priest, theologian, and influential evangelical leader.
-
E.
John
John is the given name of John Adams, the prominent American minimalist and post-minimalist composer known for works like "Nixon in China" and "Short Ride in a Fast Machine."
- 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_69ca82e87f2c8190bdb71ee29dfc642d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fbb2a3881909ef09ffcfcbb6e77 |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc6e4eb808190b138c52810f35040 |
completed | April 2, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69cdcc8439cc8190b00ce9b0781d0544 |
completed | April 2, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdcdd1a0c08190aa15e665a38945e7 |
completed | April 2, 2026, 2 a.m. |
Created at: March 30, 2026, 5:56 p.m.