Triple
T17621090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spartacus: Gods of the Arena |
E429709
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Melitta |
—
|
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: Melitta | Statement: [Spartacus: Gods of the Arena, character, Melitta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melitta Context triple: [Spartacus: Gods of the Arena, character, Melitta]
-
A.
Melitta
chosen
Melitta is a feminine given name of Greek origin, closely related to Melissa and historically associated with meanings like “bee” and “honey.”
-
B.
Faema
Faema was a prominent professional Italian cycling team of the 1950s and 1960s, best known for sponsoring and supporting legendary riders such as Eddy Merckx.
-
C.
Tassimo
Tassimo is a single-serve hot beverage system brand known for its coffee and other drink pods, originally developed and marketed by Kraft Foods.
-
D.
Nescafé
Nescafé is a globally popular brand of instant coffee and related coffee products owned by Nestlé.
-
E.
Lavazza
Lavazza is a major Italian coffee company renowned worldwide for its espresso blends and coffee products.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d36074481909ee79e238841edf2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.