Triple
T13729075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jahzeel |
E329742
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Guni |
E329743
|
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: Guni | Statement: [Jahzeel, hasSibling, Guni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guni Context triple: [Jahzeel, hasSibling, Guni]
-
A.
Guni
chosen
Guni is a biblical figure mentioned in the Hebrew Bible as a descendant within the tribe of Naphtali.
-
B.
Ogi
Ogi was a former municipality on Sado Island in Niigata Prefecture, Japan, known for its coastal setting and later incorporation into the city of Sado.
-
C.
Oichi
Oichi was a prominent 16th-century Japanese noblewoman of the Sengoku period, best known as the sister of warlord Oda Nobunaga and a key political figure through her strategic marriages and descendants.
-
D.
Tokomaru
Tokomaru is a traditional Māori voyaging canoe (waka) associated with the Ngāpuhi iwi (tribe) in Aotearoa New Zealand.
-
E.
Gunmar
Gunmar is the primary antagonist and powerful Gumm-Gumm troll warlord in the animated series "Trollhunters: Tales of Arcadia."
- 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.