Triple
T15653210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gyptian |
E376362
|
entity |
| Predicate | hasStageName |
P7872
|
FINISHED |
| Object | Gyptian |
E376362
|
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: Gyptian | Statement: [Gyptian, hasStageName, Gyptian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gyptian Context triple: [Gyptian, hasStageName, Gyptian]
-
A.
Gyptian
chosen
Gyptian is a Jamaican reggae and dancehall singer known for hits like "Hold Yuh" and his smooth, melodic vocal style.
-
B.
Gyptians
The Gyptians are a nomadic, boat-dwelling people in Philip Pullman’s His Dark Materials universe, known for their tight-knit communities, strong traditions, and role as key allies to the story’s protagonists.
-
C.
The Egyptian
"The Egyptian" is a 1954 epic historical drama film set in ancient Egypt, adapted from Mika Waltari’s novel and known for its lavish production and religious-philosophical themes.
-
D.
Old Nubian
Old Nubian is an extinct Nubian language once spoken in medieval Nubia, known primarily from Christian religious and administrative texts.
-
E.
Ancient Egyptian
Ancient Egyptian is the extinct language of ancient Egypt, known from hieroglyphic, hieratic, and demotic scripts and regarded as one of the earliest recorded written languages in human history.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef089948190902ec22f4d7bc932 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6797954c8190ac05ee3db634efa7 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:15 a.m.