Triple
T17904151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angus Cloud |
E447656
|
entity |
| Predicate | portrayedCharacter |
P1668
|
FINISHED |
| Object | Fezco |
—
|
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 | Statement: [Angus Cloud, portrayedCharacter, Fezco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fezco Context triple: [Angus Cloud, portrayedCharacter, Fezco]
-
A.
Fezco
chosen
Fezco is a soft-spoken teenage drug dealer and loyal friend character from the television series "Euphoria."
-
B.
Zaks
Zaks is a surname most notably associated with Jerry Zaks, a prominent American theater director and actor.
-
C.
Founex
Founex is a small Swiss municipality on Lake Geneva in the canton of Vaud, known for its residential character and proximity to Geneva.
-
D.
Ferno
Ferno is a small municipality in the Lombardy region of northern Italy, situated in the province of Varese.
-
E.
Fazer
Fazer is a British rapper, producer, and DJ best known as a member of the hip hop group N-Dubz alongside Tulisa Contostavlos and Dappy.
- 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.