Triple
T16695918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujiwara no Shōshi |
E405714
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Empress (kōgō) |
E629145
|
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: Empress (kōgō) | Statement: [Fujiwara no Shōshi, title, Empress (kōgō)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Empress (kōgō) Context triple: [Fujiwara no Shōshi, title, Empress (kōgō)]
-
A.
Kōgō (Empress)
chosen
Kōgō (Empress) is the traditional Japanese title given to the principal consort of the reigning emperor, recognized as the empress in the imperial court hierarchy.
-
B.
Empress Genshō
Empress Genshō was an 8th-century Japanese sovereign known for her reign during the early Nara period, overseeing the consolidation of the imperial state and the flourishing of classical Japanese culture.
-
C.
Empress
Empress is a science fiction comic book series written by Mark Millar that follows a queen fleeing a tyrannical galactic emperor with her children across the universe.
-
D.
Empress
Empress is a studio album by Nigerian singer Yemi Alade that showcases her Afro-pop sound and themes of female empowerment.
-
E.
Empress
Empress was the radio callsign used by Canadian Pacific Air Lines for its commercial flight operations.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eadc35881909fb0cc405a0e2fae |
completed | April 18, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d36aa90819090b738c1c94dcb9f |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:19 a.m.