Triple
T2262849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monica De La Cruz |
E50076
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Monica
Monica is a feminine given name of Latin origin, commonly used in many cultures and languages.
|
E35258
|
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 De La Cruz, givenName, Monica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monica Context triple: [Monica De La Cruz, 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 Raymund
Monica Raymund is an American actress best known for her television roles on series such as "Lie to Me" and "Chicago Fire."
-
C.
Monica Morgan
Monica Morgan is a notable member of the Yorta Yorta people, recognized for her contributions to Indigenous Australian community leadership and advocacy.
-
D.
Monica Collingwood
Monica Collingwood was an American film editor known for her work on classic Hollywood films, including the 1947 romantic comedy "The Bishop's Wife."
-
E.
Rachael
Rachael is a feminine given name commonly used in English-speaking countries, often considered a variant of the biblical name Rachel.
- 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 De La Cruz, givenName, Monica]
Generated description
Monica is a feminine given name of Latin origin, commonly used in many 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 of Latin origin, commonly used in many cultures and languages.
-
A.
Monica
chosen
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 Raymund
Monica Raymund is an American actress best known for her television roles on series such as "Lie to Me" and "Chicago Fire."
-
C.
Monica Morgan
Monica Morgan is a notable member of the Yorta Yorta people, recognized for her contributions to Indigenous Australian community leadership and advocacy.
-
D.
Monica Collingwood
Monica Collingwood was an American film editor known for her work on classic Hollywood films, including the 1947 romantic comedy "The Bishop's Wife."
-
E.
Rachael
Rachael is a feminine given name commonly used in English-speaking countries, often considered a variant of the biblical name Rachel.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc18be8308190abc4a59d37dfd93a |
completed | March 7, 2026, 6:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71cfd3b08190988474aa0fa985fe |
completed | March 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69ae7688583c8190abb05be41103762a |
completed | March 9, 2026, 7:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae76ec3c0c8190bfb7d25b435c777f |
completed | March 9, 2026, 7:29 a.m. |
Created at: March 4, 2026, 7:48 p.m.