Triple
T8725702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monica Raymund |
E207125
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Monica
Monica is a feminine given name commonly used in various cultures and languages.
|
E754342
|
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 | Statement: [Monica Raymund, givenName, Monica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monica Context triple: [Monica Raymund, givenName, Monica]
-
A.
Monica
Monica is an American R&B singer and songwriter known for her powerful vocals and 1990s hits like "The Boy Is Mine" (with Brandy) and "Angel of Mine."
-
B.
Monica Denise Brown
Monica Denise Brown, known professionally as Monica, is an American R&B singer, songwriter, and actress who rose to fame in the mid-1990s with hits like "Don't Take It Personal (Just One of Dem Days)" and "The Boy Is Mine."
-
C.
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.
-
D.
Monique
Monique is the given name of the American comedian and Academy Award–winning actress Mo'Nique.
-
E.
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."
- 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 Triple: [Monica Raymund, givenName, Monica]
Generated description
Monica is a feminine given name commonly used in various cultures and languages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Monica Target entity description: Monica is a feminine given name commonly used in various cultures and languages.
-
A.
Monica
Monica is an American R&B singer and songwriter known for her powerful vocals and 1990s hits like "The Boy Is Mine" (with Brandy) and "Angel of Mine."
-
B.
Monica Denise Brown
Monica Denise Brown, known professionally as Monica, is an American R&B singer, songwriter, and actress who rose to fame in the mid-1990s with hits like "Don't Take It Personal (Just One of Dem Days)" and "The Boy Is Mine."
-
C.
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.
-
D.
Monique
Monique is the given name of the American comedian and Academy Award–winning actress Mo'Nique.
-
E.
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."
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d158b0481908249610458f97306 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf4205d7a08190839c10bdfc476d9f |
completed | April 3, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69cf43bd0f8c8190be2f7dc86f1e76e1 |
completed | April 3, 2026, 4:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf444c9cb08190a37f34faa4a3458d |
completed | April 3, 2026, 4:38 a.m. |
Created at: March 30, 2026, 6:36 p.m.