Triple
T16436333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Murder |
E399187
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | King Kobra |
E616714
|
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: King Kobra | Statement: [Blue Murder, associatedAct, King Kobra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King Kobra Context triple: [Blue Murder, associatedAct, King Kobra]
-
A.
King Kobra
chosen
King Kobra is an American hard rock and glam metal band formed in the 1980s, known for its melodic hooks and association with prominent acts in the Los Angeles metal scene.
-
B.
Kobra
Kobra is a spinning disk roller coaster attraction at Chessington World of Adventures in the UK.
-
C.
Serpent
Serpent is a symmetric block cipher designed as a highly secure, conservative candidate for the Advanced Encryption Standard (AES) competition.
-
D.
Garuga
Garuga is a small genus of tropical trees in the frankincense and myrrh family Burseraceae, known for its resinous bark and occurrence in Asian and Pacific regions.
-
E.
Basilisk
The Basilisk is a gigantic, deadly serpent from the Harry Potter series whose gaze can kill and whose venom is among the most lethal magical substances.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba224988190b7cccc42f35e54de |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0045893c5481909e5ffa9460dc5b3d |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:10 a.m.