Triple
T13373472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | If You Love Me |
E319123
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Monica "Mimi" Doby |
E1036224
|
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 "Mimi" Doby | Statement: [If You Love Me, writer, Monica "Mimi" Doby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monica "Mimi" Doby Context triple: [If You Love Me, writer, Monica "Mimi" Doby]
-
A.
Monica Doby
Monica Doby is a member of the Brownstone music group, contributing to its vocal and artistic identity.
-
B.
Mimi Doby
chosen
Mimi Doby is a member of the Brownstone music group, contributing to their distinctive R&B sound.
-
C.
Monica Reed
Monica Reed is a character in Noël Coward's comedy play "Present Laughter," typically portrayed as a sharp-tongued, efficient secretary and former lover of the protagonist, Garry Essendine.
-
D.
Monica Johnson
Monica Johnson was an American screenwriter best known for co-writing several of Albert Brooks’s acclaimed comedy films, including "Lost in America."
-
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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcda64a48190b53243a763cd175b |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7461814dc8190aaaefc648da75246 |
completed | May 3, 2026, 12:56 p.m. |
Created at: April 9, 2026, 9:33 p.m.