Triple
T21869918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seediq Bale uprising |
E539974
|
entity |
| Predicate | hasLeader |
P981
|
FINISHED |
| Object | Mona Rudao |
—
|
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: Mona Rudao | Statement: [Seediq Bale uprising, hasLeader, Mona Rudao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mona Rudao Context triple: [Seediq Bale uprising, hasLeader, Mona Rudao]
-
A.
Mona Rudao
chosen
Mona Rudao was a Seediq indigenous chieftain and resistance leader in Taiwan who led an uprising against Japanese colonial rule in 1930.
-
B.
Mona Nörklit
Mona Nörklit is a Swedish television producer best known as the wife of ABBA musician Benny Andersson.
-
C.
Maira Suro
Maira Suro is a television producer best known for her executive production work on the science fiction series "The 4400."
-
D.
Rena Mero
Rena Mero is an American model, actress, and former professional wrestler best known for her popular late-1990s run in WWE under the ring name Sable.
-
E.
Mona Demarkov
Mona Demarkov is a seductive and ruthless Russian mob assassin who serves as the central femme fatale in the neo-noir crime film "Romeo Is Bleeding."
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f334362c819094af465ee57b47e6 |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 6:57 p.m.