Triple
T21252197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Future Foundation |
E523771
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
Mik
Mik is a character associated with Marvel Comics’ Future Foundation, a team of young, highly intelligent heroes connected to the Fantastic Four.
|
E1474512
|
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: Mik | Statement: [Future Foundation, member, Mik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mik Context triple: [Future Foundation, member, Mik]
-
A.
Mik
Mik is the nickname and given name of Mik Kaminski, the English violinist best known for his work with the rock band Electric Light Orchestra.
-
B.
Miek
Miek is an insectoid warrior from Marvel's Hulk comics and the Marvel Cinematic Universe, known as one of the gladiators and later allies of Hulk on the planet Sakaar.
-
C.
Miki
Miki is a city located in Japan’s Kagawa Prefecture on the island of Shikoku.
-
D.
Miki
Miki is a Japanese given name commonly used for women and sometimes men, often written with kanji characters that convey meanings like "beautiful," "tree," or "hope."
-
E.
Miki
Miki is a city in Japan located within Hyogo Prefecture, known for its traditional hardware industry and historical sites.
- 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: Mik Triple: [Future Foundation, member, Mik]
Generated description
Mik is a character associated with Marvel Comics’ Future Foundation, a team of young, highly intelligent heroes connected to the Fantastic Four.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mik Target entity description: Mik is a character associated with Marvel Comics’ Future Foundation, a team of young, highly intelligent heroes connected to the Fantastic Four.
-
A.
Mik
Mik is the nickname and given name of Mik Kaminski, the English violinist best known for his work with the rock band Electric Light Orchestra.
-
B.
Miek
Miek is an insectoid warrior from Marvel's Hulk comics and the Marvel Cinematic Universe, known as one of the gladiators and later allies of Hulk on the planet Sakaar.
-
C.
Miki
Miki is a city in Japan located within Hyogo Prefecture, known for its traditional hardware industry and historical sites.
-
D.
Miki
Miki is a city located in Japan’s Kagawa Prefecture on the island of Shikoku.
-
E.
Miki
Miki is a Japanese given name commonly used for women and sometimes men, often written with kanji characters that convey meanings like "beautiful," "tree," or "hope."
- 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7359f5b408190b951adddba83c97a |
completed | April 21, 2026, 8:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a098ff3bca481909d264dce786d261d |
completed | May 17, 2026, 9:52 a.m. |
| NEDg | Description generation | batch_6a099107de508190b4d3d864c33cf7d8 |
completed | May 17, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0991bc8370819087b205185299acce |
completed | May 17, 2026, 10 a.m. |
Created at: April 16, 2026, 3:57 p.m.