Triple
T15357038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batmobile |
E367189
|
entity |
| Predicate | usedAgainst |
P13821
|
FINISHED |
| Object | Bane |
E135916
|
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: Bane | Statement: [Batmobile, usedAgainst, Bane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bane Context triple: [Batmobile, usedAgainst, Bane]
-
A.
Bane
chosen
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 the stock ticker symbol for Bashneft, a major Russian oil and gas company.
-
C.
The Riddler
The Riddler is a Batman supervillain known for his obsession with puzzles and riddles, often leaving cryptic clues at crime scenes to taunt both the Dark Knight and Gotham's police.
-
D.
Atrocitus
Atrocitus is a powerful and vengeful Red Lantern leader in DC Comics, known for wielding rage-fueled ring energy against the Green Lantern Corps.
-
E.
Two-Face
Two-Face is a prominent Batman supervillain from DC Comics, formerly Gotham City district attorney Harvey Dent, whose scarred dual visage and coin-flipping obsession embody his split between justice and criminality.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2c00648190ae2325e1ee58dcfd |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b45e3048190a7fa62ead6916fed |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.