Triple
T14528243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Into the Unknown |
E340834
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | AURORA |
E942862
|
NE FINISHED |
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: AURORA | Statement: [Into the Unknown, performer, AURORA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AURORA Context triple: [Into the Unknown, performer, AURORA]
-
A.
AURORA
AURORA is the radio callsign used by the Russian airline Smartavia for its flight operations and air traffic communications.
-
B.
Aurora
Aurora is a wealthy, technologically advanced Spacer world in Isaac Asimov’s Robot series, known for its robot-dependent society and pivotal role in the development of human-robot relations.
-
C.
Aurora
chosen
Aurora is a Norwegian singer-songwriter known for her ethereal vocals, atmospheric electropop sound, and introspective, nature-inspired lyrics.
-
D.
Aurora
Aurora is an autonomous vehicle technology company focused on developing self-driving systems for cars, trucks, and other vehicles.
-
E.
Aurora
Aurora is a protected entity or realm under the guardianship of the being known as Fauna.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea051bc608190ad4d516c5e7bca43 |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94acd8288190a91bf09220126e13 |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:22 a.m.