Triple
T18637283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sela |
E455584
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Voyagers |
—
|
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: Voyagers | Statement: [Sela, appearsIn, Voyagers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Voyagers Context triple: [Sela, appearsIn, Voyagers]
-
A.
Voyagers
chosen
"Voyagers" is a 2021 science fiction thriller film about a group of young astronauts on a multi-generational space mission that descends into chaos and paranoia.
-
B.
Voyagers
"Voyagers" is a science fiction novel by Ben Bova that explores humanity’s response to the discovery of an approaching alien starship.
-
C.
The Voyager
The Voyager is a critically acclaimed solo album by American singer-songwriter Jenny Lewis that blends indie rock and pop with introspective, narrative-driven lyrics.
-
D.
Voyager
Voyager is the Royal Air Force’s multi-role tanker transport aircraft, providing air-to-air refuelling and strategic airlift capabilities.
-
E.
Voyager
Voyager is a science fiction novel by Diana Gabaldon, part of the Outlander series, that follows time-traveling nurse Claire Fraser as she reunites with her 18th-century husband Jamie after decades apart.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fc9fa6c81909e1b988bdfb5ebcc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 10, 2026, 11:47 a.m.