Triple
T15127628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fennec Shand |
E361332
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object | Cade Bane |
E358590
|
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: Cade Bane | Statement: [Fennec Shand, enemy, Cade Bane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cade Bane Context triple: [Fennec Shand, enemy, Cade Bane]
-
A.
Cad Bane
chosen
Cad Bane is a ruthless Duros bounty hunter from the Star Wars universe, renowned for his cunning, advanced weaponry, and frequent clashes with Jedi and other underworld figures.
-
B.
Cade
Cade is a surname most notably associated with Brittney Cade, known for her connection to the music and entertainment world.
-
C.
Aiden Burn
Aiden Burn is a fictional crime scene investigator and key member of the forensic team on the television series CSI: NY.
-
D.
Lennox Cato
Lennox Cato is a British antiques dealer and television expert best known for his appearances on the BBC’s "Antiques Roadshow."
-
E.
Caine Wise
Caine Wise is a genetically engineered ex-military hunter and protector who serves as the primary hero in the science-fiction film "Jupiter Ascending."
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005a1b9288190954f2d92549805e5 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7f865c08190ab8fd15c14d0c06c |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:06 a.m.