Triple
T20820403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grim Reaper |
E512558
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Azrael |
—
|
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: Azrael | Statement: [Grim Reaper, relatedTo, Azrael]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azrael Context triple: [Grim Reaper, relatedTo, Azrael]
-
A.
Azrael
Azrael is a fictional, rebellious fallen angel character portrayed by Jason Lee in Kevin Smith's film "Dogma."
-
B.
Azrael
Azrael is the malevolent pet cat of the evil wizard Gargamel, known for relentlessly trying to catch the Smurfs in the Smurfs franchise.
-
C.
Azrael
Azrael is a vigilante antihero in DC Comics who has at times taken on the mantle of Batman, known for his fanatical devotion, lethal methods, and connection to the secretive Order of St. Dumas.
-
D.
Azrael
chosen
Azrael is the angel of death in Islamic and some Jewish and Christian traditions, responsible for separating souls from bodies at the time of death.
-
E.
Azzael
Azzael is a demonic entity from the Hellboy universe, known as the infernal progenitor of the character Anung Un Rama (Hellboy).
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f6a65481909a0df78616e185e4 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:41 p.m.