Triple
T4793720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miroslav Volf |
E106661
|
entity |
| Predicate | hasSpouse |
P13
|
FINISHED |
| Object |
Judith Gundry
Judith Gundry is a New Testament scholar and theologian known for her work on Pauline studies and early Christian theology.
|
E468556
|
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: Judith Gundry | Statement: [Miroslav Volf, hasSpouse, Judith Gundry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judith Gundry Context triple: [Miroslav Volf, hasSpouse, Judith Gundry]
-
A.
Patricia Fruen
Patricia Fruen is an actress known for her role in the film "Way Down East."
-
B.
Gail Mutrux
Gail Mutrux is an American film producer known for her work on acclaimed dramas such as "News of the World" and "Donnie Brasco."
-
C.
Patricia Dainton
Patricia Dainton was a British film and television actress known for her roles in 1950s and 1960s thrillers and dramas.
-
D.
Diane Cilento
Diane Cilento was an Australian actress known for her work in British and international cinema and theatre, and for her Academy Award–nominated role in the film "Tom Jones" (1963).
-
E.
Katherine Pope
Katherine Pope is a television executive and producer known for her leadership roles at major studios and her work overseeing high-profile series.
- 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: Judith Gundry Triple: [Miroslav Volf, hasSpouse, Judith Gundry]
Generated description
Judith Gundry is a New Testament scholar and theologian known for her work on Pauline studies and early Christian theology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Judith Gundry Target entity description: Judith Gundry is a New Testament scholar and theologian known for her work on Pauline studies and early Christian theology.
-
A.
Patricia Fruen
Patricia Fruen is an actress known for her role in the film "Way Down East."
-
B.
Gail Mutrux
Gail Mutrux is an American film producer known for her work on acclaimed dramas such as "News of the World" and "Donnie Brasco."
-
C.
Patricia Dainton
Patricia Dainton was a British film and television actress known for her roles in 1950s and 1960s thrillers and dramas.
-
D.
Diane Cilento
Diane Cilento was an Australian actress known for her work in British and international cinema and theatre, and for her Academy Award–nominated role in the film "Tom Jones" (1963).
-
E.
Katherine Pope
Katherine Pope is a television executive and producer known for her leadership roles at major studios and her work overseeing high-profile series.
- 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_69bd43f591c881909e5a532388b0f3f3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd66072ebc8190ae0e6cef1e7b07e4 |
completed | March 20, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43f0be108190aebcc9b1a824e624 |
completed | March 21, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69be44b374a081908862ebad48332d16 |
completed | March 21, 2026, 7:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be4530fe5c8190aa976151cdd5bc7a |
completed | March 21, 2026, 7:13 a.m. |
Created at: March 20, 2026, 1:22 p.m.