Triple
T20828193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doombots |
E512758
|
entity |
| Predicate | variant |
P4680
|
FINISHED |
| Object | AI‑enhanced Doombot |
—
|
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: AI‑enhanced Doombot | Statement: [Doombots, variant, AI‑enhanced Doombot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AI‑enhanced Doombot Context triple: [Doombots, variant, AI‑enhanced Doombot]
-
A.
Doombots
chosen
Doombots are highly advanced robotic duplicates of Doctor Doom designed to mimic his appearance, powers, and personality while serving as decoys and enforcers.
-
B.
AlphaStar
AlphaStar is a DeepMind-created artificial intelligence system that achieved grandmaster-level performance in the real-time strategy game StarCraft II.
-
C.
MuZero
MuZero is a DeepMind reinforcement learning algorithm that learns to plan and master complex games like Go, chess, and Atari without being given the rules in advance.
-
D.
Nouvelle AI
Nouvelle AI is an approach to artificial intelligence that emphasizes situated, embodied agents and reactive behavior over internal symbolic representations.
-
E.
AlphaGo Zero
AlphaGo Zero is DeepMind's advanced artificial intelligence program that learned to play the board game Go at superhuman level entirely through self-play without human data.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c31e387481909fcf323f97019803 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:42 p.m.