Triple
T4505185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euphoria |
E101315
|
entity |
| Predicate | leadCharacter |
P1668
|
FINISHED |
| Object | Rue Bennett |
E344398
|
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: Rue Bennett | Statement: [Euphoria, leadCharacter, Rue Bennett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rue Bennett Context triple: [Euphoria, leadCharacter, Rue Bennett]
-
A.
Rue Bennett
chosen
Rue Bennett is the troubled, drug-addicted teenage protagonist of the television series "Euphoria," known for her raw, introspective narration and complex emotional struggles.
-
B.
Marli Bennett
Marli Bennett is the daughter of American rapper and musician Chance the Rapper (Chancelor Bennett).
-
C.
Grace Bennett
Grace Bennett is the protagonist of the novel "Passions," around whom the story’s central emotional and dramatic conflicts revolve.
-
D.
Ruby Aldridge
Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
-
E.
Felice Bryant
Felice Bryant was an American songwriter best known for her prolific country and pop hits co-written with her husband Boudleaux Bryant, including classics like “Bye Bye Love” and “Love Hurts.”
- 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56fe17608190ae5dc27052b7c337 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc546a4fc8190962b1f6949d9fdbc |
completed | March 20, 2026, 10:08 p.m. |
Created at: March 20, 2026, 1:01 p.m.