Triple
T9209298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dee Mitchell |
E221069
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Dee |
E201461
|
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: Dee | Statement: [Dee Mitchell, givenName, Dee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dee Context triple: [Dee Mitchell, givenName, Dee]
-
A.
Dee
chosen
Dee is the given name of Dee Bradley Baker, an American voice actor known for his extensive work in animation, video games, and film.
-
B.
Dee
Dee is the mythological river goddess associated with the River Dee in Galloway, Scotland.
-
C.
Dee
Dee is a fictional character from the TV sitcom "It's Always Sunny in Philadelphia," known for her abrasive personality, failed acting ambitions, and constant ridicule from her friends.
-
D.
Dee Dee
Dee Dee is Dexter’s exuberant and mischievous older sister in the animated series "Dexter’s Laboratory," known for constantly disrupting his scientific experiments.
-
E.
DeeVee
DeeVee is a central character in the hip-hop drama series "The Breaks," which follows aspiring artists navigating the 1990s New York rap scene.
- 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b3c8c081909a688ce699928fc0 |
completed | April 1, 2026, 8:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065e967508190acb962d37c390d68 |
completed | April 4, 2026, 1:14 a.m. |
Created at: March 30, 2026, 7:26 p.m.