Triple
T3285873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hell |
E68979
|
entity |
| Predicate | hasAssociationWith |
P2830
|
FINISHED |
| Object | the Devil |
E38619
|
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: the Devil | Statement: [Hell, hasAssociationWith, the Devil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the Devil Context triple: [Hell, hasAssociationWith, the Devil]
-
A.
the Devil
chosen
The Devil is a supernatural embodiment of evil and temptation, commonly depicted in religious and literary traditions as a powerful adversary who bargains for human souls.
-
B.
Šatan
Šatan is a Slovak surname most famously borne by Miroslav Šatan, a prominent former professional ice hockey player and national team star.
-
C.
El Diablo
El Diablo is the famous nickname of Bolivian football legend Marco Etcheverry, a creative attacking midfielder renowned for his playmaking skills.
-
D.
SATAN
SATAN is an early network security scanner tool that automated the process of finding vulnerabilities in Unix systems.
-
E.
Il Diavolo
Il Diavolo is a famous nickname for Italian football club AC Milan, reflecting its red-and-black colors and fiery, intimidating playing spirit.
- 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_69ad859c463481909ca4be267336c290 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb03918c48190987d7cfd3bda9716 |
completed | March 8, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e85b6a1081908581b2040b8ce261 |
completed | March 12, 2026, 4:22 p.m. |
Created at: March 8, 2026, 3:10 p.m.