Triple
T18254855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anduril Industries |
E437196
|
entity |
| Predicate | develops |
P73
|
FINISHED |
| Object | Lattice AI platform |
—
|
NE NERFINISHED |
How this triple was built (3 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: Lattice AI platform | Statement: [Anduril Industries, develops, Lattice AI platform]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lattice AI platform Context triple: [Anduril Industries, develops, Lattice AI platform]
-
A.
Lattice sensAI
Lattice sensAI is Lattice Semiconductor’s low-power, FPGA-based edge AI platform designed to accelerate machine learning inference in resource-constrained applications.
-
B.
Lattice Automate
Lattice Automate is an edge AI and industrial automation solution platform from Lattice Semiconductor designed to accelerate development of smart, low-power, and real-time control systems.
-
C.
Adobe Sensei AI platform
Adobe Sensei AI platform is Adobe’s artificial intelligence and machine learning framework that powers intelligent features across its creative and experience products, enabling automated, context-aware tools for tasks like image editing, personalization, and content optimization.
-
D.
Radiant AI
Radiant AI is the dynamic artificial intelligence system in The Elder Scrolls IV: Oblivion that governs NPC behaviors, schedules, and interactions to create a more lifelike game world.
-
E.
Element AI
Element AI was a Montreal-based artificial intelligence company and research lab known for developing enterprise AI solutions and advancing deep learning research.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lattice AI platform Target entity description: Lattice AI platform is Anduril Industries’ software ecosystem that fuses sensor data and applies artificial intelligence to provide real-time battlefield awareness and decision support for defense operations.
-
A.
Lattice sensAI
Lattice sensAI is Lattice Semiconductor’s low-power, FPGA-based edge AI platform designed to accelerate machine learning inference in resource-constrained applications.
-
B.
Lattice Automate
Lattice Automate is an edge AI and industrial automation solution platform from Lattice Semiconductor designed to accelerate development of smart, low-power, and real-time control systems.
-
C.
Adobe Sensei AI platform
Adobe Sensei AI platform is Adobe’s artificial intelligence and machine learning framework that powers intelligent features across its creative and experience products, enabling automated, context-aware tools for tasks like image editing, personalization, and content optimization.
-
D.
Radiant AI
Radiant AI is the dynamic artificial intelligence system in The Elder Scrolls IV: Oblivion that governs NPC behaviors, schedules, and interactions to create a more lifelike game world.
-
E.
Element AI
Element AI was a Montreal-based artificial intelligence company and research lab known for developing enterprise AI solutions and advancing deep learning research.
- F. None of above. chosen
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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd84b3a481908bbc1a5e5034d397 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:34 a.m.