Triple
T16079952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clifton Davis |
E390079
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Monica Durant
Monica Durant is known as the wife of American actor, singer, and minister Clifton Davis.
|
E1193061
|
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: Monica Durant | Statement: [Clifton Davis, spouse, Monica Durant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monica Durant Context triple: [Clifton Davis, spouse, Monica Durant]
-
A.
Monica Wright
Monica Wright is a fiercely competitive and talented basketball player whose evolving romance and athletic ambitions drive the coming-of-age sports drama in the film "Love & Basketball."
-
B.
Monica Calhoun
Monica Calhoun is an American actress known for her work in film and television, particularly in popular African-American ensemble dramas and comedies.
-
C.
Monica Raymund
Monica Raymund is an American actress best known for her television roles on series such as "Lie to Me" and "Chicago Fire."
-
D.
Monica Devereux
Monica Devereux is an American actress and choreographer known for her work in films such as "Adventures in Babysitting" and "Home Alone."
-
E.
Monica Morgan
Monica Morgan is a notable member of the Yorta Yorta people, recognized for her contributions to Indigenous Australian community leadership and advocacy.
- 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: Monica Durant Triple: [Clifton Davis, spouse, Monica Durant]
Generated description
Monica Durant is known as the wife of American actor, singer, and minister Clifton Davis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Monica Durant Target entity description: Monica Durant is known as the wife of American actor, singer, and minister Clifton Davis.
-
A.
Monica Wright
Monica Wright is a fiercely competitive and talented basketball player whose evolving romance and athletic ambitions drive the coming-of-age sports drama in the film "Love & Basketball."
-
B.
Monica Calhoun
Monica Calhoun is an American actress known for her work in film and television, particularly in popular African-American ensemble dramas and comedies.
-
C.
Monica Raymund
Monica Raymund is an American actress best known for her television roles on series such as "Lie to Me" and "Chicago Fire."
-
D.
Monica Devereux
Monica Devereux is an American actress and choreographer known for her work in films such as "Adventures in Babysitting" and "Home Alone."
-
E.
Monica Morgan
Monica Morgan is a notable member of the Yorta Yorta people, recognized for her contributions to Indigenous Australian community leadership and advocacy.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18448bebc8190b0e84b1da097bf8b |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe48adec081909623355eabee472c |
completed | May 10, 2026, 1:51 a.m. |
| NEDg | Description generation | batch_69ffe6af1c4081908b57f4dc485fbb14 |
completed | May 10, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe769d56081908f723e92d327e315 |
completed | May 10, 2026, 2:03 a.m. |
Created at: April 10, 2026, 4:57 a.m.