Triple
T20210693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moaning Myrtle |
E493478
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Basilisk |
—
|
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: Basilisk | Statement: [Moaning Myrtle, associatedWith, Basilisk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Basilisk Context triple: [Moaning Myrtle, associatedWith, Basilisk]
-
A.
Basilisk
chosen
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.
-
B.
Serpent
Serpent is a symmetric block cipher designed as a highly secure, conservative candidate for the Advanced Encryption Standard (AES) competition.
-
C.
Serpent
"Serpent" is a track by the electronic music duo TNGHT, known for its heavy, experimental trap-influenced production.
-
D.
LernaeanHydra
The Lernaean Hydra is a many-headed serpent-like monster from Greek mythology, famed for its regenerative heads and its defeat as one of Heracles’ Twelve Labors.
-
E.
Drac
The Drac is a river in southeastern France that flows through the Alps and is a significant tributary of the Isère.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed5691c8190bf253b1d4ee6e88f |
completed | April 20, 2026, 6:22 p.m. |
Created at: April 11, 2026, 11:38 p.m.