Triple

T34985852
Position Surface form Disambiguated ID Type / Status
Subject Terry Silver E1008943 entity
Predicate businessOwnership P21206 FINISHED
Object Dynatox Industries
Dynatox Industries is a fictional toxic waste disposal company owned by Terry Silver in the Karate Kid/Cobra Kai universe, often associated with unethical and environmentally harmful practices.
E2120108 NE FINISHED

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: Dynatox Industries | Statement: [Terry Silver, businessOwnership, Dynatox Industries]
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: Dynatox Industries
Triple: [Terry Silver, businessOwnership, Dynatox Industries]
Generated description
Dynatox Industries is a fictional toxic waste disposal company owned by Terry Silver in the Karate Kid/Cobra Kai universe, often associated with unethical and environmentally harmful practices.

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_69f76dc844a48190881951fffb83d17e completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7849d996481909baf92a2d8b69133 completed May 3, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37b28457b081909ac991525cf48d68 completed June 21, 2026, 9:44 a.m.
NEDg Description generation batch_6a37b35f30b48190a2ef8bf97859463a completed June 21, 2026, 9:48 a.m.
NED2 Entity disambiguation (via description) batch_6a37b47166f48190a351377c2080628e completed June 21, 2026, 9:52 a.m.
Created at: May 3, 2026, 4:01 p.m.