Triple
T17904145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angus Cloud |
E447656
|
entity |
| Predicate | televisionRole |
P1668
|
FINISHED |
| Object | Fezco in "Euphoria" |
—
|
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: Fezco in "Euphoria" | Statement: [Angus Cloud, televisionRole, Fezco in "Euphoria"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fezco in "Euphoria" Context triple: [Angus Cloud, televisionRole, Fezco in "Euphoria"]
-
A.
Ali in Euphoria
Ali in *Euphoria* is a recovering addict and mentor figure who serves as a moral compass and support system for the show's protagonist, Rue.
-
B.
Fezco
chosen
Fezco is a soft-spoken teenage drug dealer and loyal friend character from the television series "Euphoria."
-
C.
Euphoria
Euphoria is a critically acclaimed HBO teen drama series known for its raw portrayal of addiction, identity, and sexuality, featuring Zendaya in a lead role.
-
D.
Euphoria
Euphoria is a studio album by Spanish singer Enrique Iglesias that blends pop and dance influences and features several international hit singles.
-
E.
Euphoria
"Euphoria" is a dance-pop song by Swedish singer Loreen that gained international acclaim after winning the Eurovision Song Contest 2012 and becoming a major European hit.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9a9cfc8190879fc36dfdeb562b |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.