Triple
T15880728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aura |
E385067
|
entity |
| Predicate | instrument |
P792
|
FINISHED |
| Object | OMI |
E597801
|
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: OMI | Statement: [Aura, instrument, OMI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OMI Context triple: [Aura, instrument, OMI]
-
A.
OMI
OMI is a Jamaican singer and songwriter best known for his global hit single "Cheerleader."
-
B.
OMI
chosen
OMI is a Roman Catholic religious congregation of priests and brothers, formally known as the Missionary Oblates of Mary Immaculate, dedicated especially to missionary work among the poor and marginalized.
-
C.
OMiK
OMiK is the OSCE’s field mission in Kosovo, focused on promoting human rights, democratic institutions, and the rule of law.
-
D.
Omni
Omni is a short book in the Book of Mormon that continues the historical and spiritual record of the Nephite people through a series of brief entries by multiple authors.
-
E.
OM
OM is the post-nominal abbreviation used by recipients of the Order of the Cross of Terra Mariana, a high state decoration of Estonia typically awarded to foreign dignitaries for services to the Estonian state.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156160a208190b30da2426411ee98 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa9529ac48190993d1af234faea3b |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.