Triple
T5260254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the false prophet |
E118805
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Satan |
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: Satan | Statement: [the false prophet, associatedWith, Satan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Satan Context triple: [the false prophet, associatedWith, Satan]
-
A.
Šatan
Šatan is a Slovak surname most famously borne by Miroslav Šatan, a prominent former professional ice hockey player and national team star.
-
B.
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.
-
C.
Shatana
Shatana is a character from the Nart sagas, the traditional epic cycle of the North Caucasus peoples.
-
D.
Lucifer Morningstar
Lucifer Morningstar is a central character in the TV series "The Sandman," depicted as a powerful and androgynous ruler of Hell portrayed by Gwendoline Christie.
-
E.
SATAN
SATAN is an early network security scanner tool that automated the process of finding vulnerabilities in Unix systems.
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bcced6881909bdb7ac5471a37fe |
completed | March 20, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe821e3c8190a03c8aa581cc23cf |
completed | March 21, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:50 p.m.