Triple

T35092866
Position Surface form Disambiguated ID Type / Status
Subject James Lake Jr. E1012778 entity
Predicate friend P8712 FINISHED
Object Tobias Domzalski
Tobias Domzalski is a loyal, nerdy best friend character from the animated series "Trollhunters: Tales of Arcadia," known for supporting James Lake Jr. in his monster-fighting adventures.
E2155644 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: Tobias Domzalski | Statement: [James Lake Jr., friend, Tobias Domzalski]
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: Tobias Domzalski
Triple: [James Lake Jr., friend, Tobias Domzalski]
Generated description
Tobias Domzalski is a loyal, nerdy best friend character from the animated series "Trollhunters: Tales of Arcadia," known for supporting James Lake Jr. in his monster-fighting adventures.

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_69f76dd432ec8190969bc32acfc152b1 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78be22534819099484a30b41e7234 completed May 3, 2026, 5:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3891467c5c819085ce9eeac0c54f4b completed June 22, 2026, 1:35 a.m.
NEDg Description generation batch_6a3891dc79dc8190bf2482158e0dabed completed June 22, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_6a38925d7c688190afca1a703aea06c3 completed June 22, 2026, 1:39 a.m.
Created at: May 3, 2026, 4:01 p.m.