Triple
T8679834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaeger Program |
E206008
|
entity |
| Predicate | usesTechnology |
P1485
|
FINISHED |
| Object | Drift neural link |
E372044
|
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: Drift neural link | Statement: [Jaeger Program, usesTechnology, Drift neural link]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drift neural link Context triple: [Jaeger Program, usesTechnology, Drift neural link]
-
A.
Drift
"Drift" is a song performed by American singer and actress Blake Perlman, known for its atmospheric, cinematic style.
-
B.
Drift technology
chosen
Drift technology is a neural-link system that allows two or more pilots to share memories, thoughts, and emotions in real time to co-operatively control giant mechs in the Pacific Rim universe.
-
C.
Neural Filters
Neural Filters are Adobe Photoshop’s AI-powered tools that apply advanced, machine-learning-based adjustments and creative effects to images with minimal manual editing.
-
D.
Neurolab
Neurolab was a 1998 Space Shuttle STS-90 mission dedicated to studying how microgravity affects the nervous system and brain function in humans and animals.
-
E.
DRL
DRL is the U.S. State Department bureau responsible for promoting democracy, protecting human rights, and advancing labor rights worldwide.
- 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_69ca835379688190aa06b9d98e684d58 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc49fa6040819084cb3fe09cd0f109 |
completed | March 31, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3b2be2081908a8744b77c4753f2 |
completed | April 2, 2026, 10:54 p.m. |
Created at: March 30, 2026, 6:32 p.m.