Triple

T17908681
Position Surface form Disambiguated ID Type / Status
Subject Omnitrix E447765 entity
Predicate relatedDevice P13458 FINISHED
Object Biomnitrix
Biomnitrix is a fictional transformation device in the Ben 10 universe that allows the user to fuse two alien species into a single hybrid form.
E1295204 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: Biomnitrix | Statement: [Omnitrix, relatedDevice, Biomnitrix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biomnitrix
Context triple: [Omnitrix, relatedDevice, Biomnitrix]
  • A. Micronova
    Micronova is a leading Finnish micro- and nanotechnology research and fabrication center located in Otaniemi, Espoo.
  • B. Biolon
    Biolon is a tributary stream that feeds into Lake Annecy in southeastern France.
  • C. Remigen
    Remigen is a small Swiss municipality located in the canton of Aargau.
  • D. Metreon
    Metreon is a large entertainment and retail complex in downtown San Francisco featuring shops, restaurants, a movie theater, and event spaces.
  • E. Neometron
    Neometron is a company founded by computer scientist and software engineer Adele Goldberg, known for her pioneering work in object-oriented programming and graphical user interfaces.
  • 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: Biomnitrix
Triple: [Omnitrix, relatedDevice, Biomnitrix]
Generated description
Biomnitrix is a fictional transformation device in the Ben 10 universe that allows the user to fuse two alien species into a single hybrid form.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Biomnitrix
Target entity description: Biomnitrix is a fictional transformation device in the Ben 10 universe that allows the user to fuse two alien species into a single hybrid form.
  • A. Micronova
    Micronova is a leading Finnish micro- and nanotechnology research and fabrication center located in Otaniemi, Espoo.
  • B. Biolon
    Biolon is a tributary stream that feeds into Lake Annecy in southeastern France.
  • C. Remigen
    Remigen is a small Swiss municipality located in the canton of Aargau.
  • D. Metreon
    Metreon is a large entertainment and retail complex in downtown San Francisco featuring shops, restaurants, a movie theater, and event spaces.
  • E. Neometron
    Neometron is a company founded by computer scientist and software engineer Adele Goldberg, known for her pioneering work in object-oriented programming and graphical user interfaces.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49e9e4c9881908bfc3a83809d6b85 completed April 19, 2026, 9:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a031b2e0c5481908443e13839a0415d completed May 12, 2026, 12:21 p.m.
NEDg Description generation batch_6a031bc800d081908493949af23dd360 completed May 12, 2026, 12:23 p.m.
NED2 Entity disambiguation (via description) batch_6a031d4bf2dc8190b69eb8f8050b9955 completed May 12, 2026, 12:30 p.m.
Created at: April 10, 2026, 10:19 a.m.