Triple
T13704792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monica Dolan |
E328611
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Monica |
E754342
|
NE FINISHED |
How this triple was built (2 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 Dolan, givenName, Monica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monica Context triple: [Monica Dolan, 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
Monica is the central angelic protagonist in the television drama "Touched by an Angel," known for delivering divine guidance and messages of hope to people facing personal crises.
-
C.
Monica
chosen
Monica is a feminine given name commonly used in various cultures and languages.
-
D.
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."
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad17732c8190bbd0d73107711c99 |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79459192c81908132ad9813d69125 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:54 p.m.