Triple
T22381381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen & Slim |
E553281
|
entity |
| Predicate | leadCharacter |
P1668
|
FINISHED |
| Object | Slim |
—
|
NE NERFINISHED |
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: Slim | Statement: [Queen & Slim, leadCharacter, Slim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slim Context triple: [Queen & Slim, leadCharacter, Slim]
-
A.
Slim
Slim is the surname of Bill Slim, a prominent British field marshal who played a key leadership role in the Burma Campaign during World War II.
-
B.
Slim
Slim is a given name or nickname commonly used for people with a slender build or as a casual moniker in various English-speaking cultures.
-
C.
Slim
Slim is a music producer known for his work on the project "Part III."
-
D.
Slim
Slim is a music producer known for his work on the track "Pleasure & Pain."
-
E.
Slim
chosen
Slim is a character associated with Rosie, likely serving as a close companion or supportive ally in their shared narrative.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582c05fc8190836ae008426177a5 |
completed | April 29, 2026, 1 a.m. |
Created at: April 16, 2026, 8:45 p.m.