Triple
T13729098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guni |
E329743
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Jahzeel |
E329742
|
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: Jahzeel | Statement: [Guni, hasSibling, Jahzeel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jahzeel Context triple: [Guni, hasSibling, Jahzeel]
-
A.
Jahzeel
chosen
Jahzeel is a biblical figure recognized as one of the sons of Naphtali and a founder of a clan within the tribe of Naphtali in the Hebrew Bible.
-
B.
Azzael
Azzael is a demonic entity from the Hellboy universe, known as the infernal progenitor of the character Anung Un Rama (Hellboy).
-
C.
Zarathos
Zarathos is a powerful demonic entity in Marvel Comics best known as the hellish spirit bound to Ghost Rider and a recurring supernatural adversary to various mystical heroes.
-
D.
Azrael
Azrael is a fictional, rebellious fallen angel character portrayed by Jason Lee in Kevin Smith's film "Dogma."
-
E.
Azrael
Azrael is the malevolent pet cat of the evil wizard Gargamel, known for relentlessly trying to catch the Smurfs in the Smurfs franchise.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f746cc8190abde237bbb7e6c78 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d6302e081908e2680443852d9fd |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.