Triple
T6584763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jah |
E159191
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Most High |
E42140
|
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: Most High | Statement: [Jah, hasTitle, Most High]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Most High Context triple: [Jah, hasTitle, Most High]
-
A.
Most High
chosen
Most High is a reverential title for God that emphasizes supreme authority, transcendence, and exalted status above all other beings.
-
B.
Highest
"Highest" is a 2017 studio album by Ghanaian rapper Sarkodie that showcases his lyrical prowess and solidified his status as one of Africa’s leading hip-hop artists.
-
C.
Highest Duty
Highest Duty is the memoir of airline pilot Chesley "Sully" Sullenberger, recounting his life, career, and the events surrounding the emergency landing of US Airways Flight 1549 on the Hudson River.
-
D.
Hoch
Hoch is the nickname of Ed Hochuli, a well-known former NFL referee recognized for his muscular physique and detailed penalty explanations.
-
E.
Augst
Augst is a municipality in the canton of Basel-Landschaft in northern Switzerland, known for its proximity to the ancient Roman site of Augusta Raurica.
- 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_69c688366ce8819083f8883983c0df92 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6aeacbde08190a2e4e82cd12bc43f |
completed | March 27, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbb00cc48190a49afdb82a267043 |
completed | March 27, 2026, 6:25 p.m. |
Created at: March 27, 2026, 1:54 p.m.