Triple
T18370556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bajorans |
E446170
|
entity |
| Predicate | notableReligiousLeader |
P35921
|
FINISHED |
| Object | Kai Winn Adami |
—
|
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: Kai Winn Adami | Statement: [Bajorans, notableReligiousLeader, Kai Winn Adami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kai Winn Adami Context triple: [Bajorans, notableReligiousLeader, Kai Winn Adami]
-
A.
Kai Winn Adami
chosen
Kai Winn Adami is a prominent Bajoran religious leader and recurring antagonist in Star Trek: Deep Space Nine, known for her political ambition and moral ambiguity.
-
B.
Michael Turelli
Michael Turelli is an evolutionary biologist known for his influential theoretical work on population genetics, speciation, and the dynamics of endosymbionts such as Wolbachia.
-
C.
Michael Darwin
Michael Darwin is an American writer and researcher best known for his influential work and advocacy in the field of cryonics.
-
D.
Michael Wibberly
Michael Wibberly is a fictional character appearing in John Stephens' fantasy novel "The Fire Chronicle," part of the Books of Beginning series.
-
E.
Nadrian Seeman
Nadrian Seeman was a pioneering chemist and nanotechnologist best known for founding the field of DNA nanotechnology by using DNA to create designed nanoscale structures and devices.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51751e4288190873bcc4dc140ac16 |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 10:44 a.m.