Triple
T7419437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This Is Not a Test! |
E171206
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Monica |
E35258
|
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: [This Is Not a Test!, featuresArtist, Monica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monica Context triple: [This Is Not a Test!, featuresArtist, Monica]
-
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 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.
Monique
Monique is the given name of the American comedian and Academy Award–winning actress Mo'Nique.
-
D.
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."
-
E.
Monica Jones
Monica Jones was a British academic and long-term companion of poet Philip Larkin, known for her significant influence on his personal life and work.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2e93ffc8190beb5a1d3eb6c5d23 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8344541308190af8d90633cd92645 |
completed | March 28, 2026, 8:04 p.m. |
Created at: March 27, 2026, 3:11 p.m.