Triple
T18902133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mode series |
E462361
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Chaos Mode
Chaos Mode is a game mode within the Mode series known for its fast-paced, unpredictable, and highly challenging gameplay.
|
E1348180
|
NE FINISHED |
How this triple was built (4 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: Chaos Mode | Statement: [Mode series, hasPart, Chaos Mode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaos Mode Context triple: [Mode series, hasPart, Chaos Mode]
-
A.
Chaos Dimension
The Chaos Dimension is a nightmarish, otherworldly realm of swirling entropy and dark magic in Marvel Comics, ruled by the ancient demon Shuma-Gorath.
-
B.
Chaos
Chaos is the primordial void or yawning gap in ancient Greek cosmology, from which the first gods and elements of the universe emerged.
-
C.
Chaos
Chaos is a powerful, water-based creature and major antagonist from the Sonic the Hedgehog series, known for transforming through the power of the Chaos Emeralds.
-
D.
Chaos
"Chaos" is a crime thriller novel in Patricia Cornwell’s Kay Scarpetta series, featuring the forensic pathologist investigating a mysterious and technologically complex death.
-
E.
Chaos
"Chaos" is a French film featuring Rachida Brakni in a critically acclaimed role that significantly raised her profile as an actress.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Chaos Mode Triple: [Mode series, hasPart, Chaos Mode]
Generated description
Chaos Mode is a game mode within the Mode series known for its fast-paced, unpredictable, and highly challenging gameplay.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chaos Mode Target entity description: Chaos Mode is a game mode within the Mode series known for its fast-paced, unpredictable, and highly challenging gameplay.
-
A.
Chaos Dimension
The Chaos Dimension is a nightmarish, otherworldly realm of swirling entropy and dark magic in Marvel Comics, ruled by the ancient demon Shuma-Gorath.
-
B.
Chaos
Chaos is the primordial void or yawning gap in ancient Greek cosmology, from which the first gods and elements of the universe emerged.
-
C.
Chaos
Chaos is a powerful, water-based creature and major antagonist from the Sonic the Hedgehog series, known for transforming through the power of the Chaos Emeralds.
-
D.
Chaos
"Chaos" is a crime thriller novel in Patricia Cornwell’s Kay Scarpetta series, featuring the forensic pathologist investigating a mysterious and technologically complex death.
-
E.
Chaos
"Chaos" is a French film featuring Rachida Brakni in a critically acclaimed role that significantly raised her profile as an actress.
- F. None of above. chosen
Provenance (5 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52a4b4c8190b5821996e3c1741d |
completed | April 20, 2026, 6:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0582bc878c8190bfb5f058aa272225 |
completed | May 14, 2026, 8:07 a.m. |
| NEDg | Description generation | batch_6a05871baa5881908c3c0f407b2d82c0 |
completed | May 14, 2026, 8:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0587acbf1c819088bae20aa89783eb |
completed | May 14, 2026, 8:28 a.m. |
Created at: April 10, 2026, 11:58 a.m.