Triple
T18902045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apprentice Adept |
E462359
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Bane |
—
|
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: Bane | Statement: [Apprentice Adept, mainCharacter, Bane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bane Context triple: [Apprentice Adept, mainCharacter, Bane]
-
A.
Bane
Bane is a formidable masked villain in the Batman universe, known for his immense physical strength, strategic genius, and role as one of Batman’s most dangerous adversaries.
-
B.
Bane
Bane is a major evil deity in the Forgotten Realms, known as the god of tyranny, fear, and ruthless domination.
-
C.
Bane
chosen
Bane is the central protagonist of Piers Anthony's "Apprentice Adept" science fantasy series, known for navigating both the magical world of Phaze and the technological world of Proton.
-
D.
Bane
Bane is an American hardcore punk band known for its emotionally charged lyrics and influential presence in the 1990s and 2000s hardcore scene.
-
E.
BANE
BANE is the stock ticker symbol for Bashneft, a major Russian oil and gas company.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52a4b4c8190b5821996e3c1741d |
completed | April 20, 2026, 6:18 a.m. |
Created at: April 10, 2026, 11:58 a.m.