Triple
T20620045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyota Uhura |
E506675
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Nyota |
—
|
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: Nyota | Statement: [Nyota Uhura, givenName, Nyota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nyota Context triple: [Nyota Uhura, givenName, Nyota]
-
A.
Nyota
chosen
Nyota is the first name of Nyota Uhura, the pioneering Star Trek communications officer known as one of the earliest prominent Black female characters in American television science fiction.
-
B.
Mira
Mira is a coastal municipality in central Portugal known for its beaches, lagoons, and natural landscapes.
-
C.
Mira
Mira is a town in the Veneto region of northern Italy, situated along the Brenta Canal between Venice and Padua and known for its historic Venetian villas.
-
D.
Mira
Mira is a key character in the television series "Spartacus: Vengeance," known as a former slave and love interest of Spartacus who becomes an active member of the rebellion.
-
E.
Mira
Mira is a small town in northern Ecuador’s Carchi Province, known for its Andean setting and agricultural surroundings.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe0e22c81909f6efe21518e33f0 |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:41 a.m.