Triple
T20608821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wiglaf |
E506390
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Geats |
—
|
NE NERFINISHED |
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: Geats | Statement: [Wiglaf, associatedWith, Geats]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geats Context triple: [Wiglaf, associatedWith, Geats]
-
A.
Geats
chosen
The Geats were a North Germanic people from what is now southern Sweden, prominently featured in the Old English epic Beowulf as the hero’s own tribe.
-
B.
Teika
Teika is the commonly used name for Fujiwara no Teika, a renowned Japanese poet, critic, and anthologist of the late Heian and early Kamakura periods.
-
C.
Shishira
Shishira is a traditional season in the Indian Hindu calendar, typically associated with the late winter period.
-
D.
Yamabe no Akahito
Yamabe no Akahito was an early Nara-period Japanese court poet renowned for his elegant nature and landscape waka, many of which are preserved in the Man'yōshū anthology.
-
E.
Tamotsu Takama
Tamotsu Takama was a Japanese naval officer known for commanding the aircraft carrier Hiryū during World War II.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad5e53c8190b0add34ce9b31d57 |
completed | April 20, 2026, 10:38 p.m. |
Created at: April 16, 2026, 11:41 a.m.