Triple

T29030940
Position Surface form Disambiguated ID Type / Status
Subject Sonic Underground E737723 entity
Predicate productionCompany P490 FINISHED
Object Les Studios Tex
Les Studios Tex is a French animation studio known for producing various animated television series, including the Sonic the Hedgehog show "Sonic Underground."
E1845462 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: Les Studios Tex | Statement: [Sonic Underground, productionCompany, Les Studios Tex]
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: Les Studios Tex
Triple: [Sonic Underground, productionCompany, Les Studios Tex]
Generated description
Les Studios Tex is a French animation studio known for producing various animated television series, including the Sonic the Hedgehog show "Sonic Underground."

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_69f077ef00fc81909325f084ad37c035 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f6603953f88190a8805a698456ab58 completed May 2, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2505d780d88190a0ed521fd29d0883 completed June 7, 2026, 5:47 a.m.
NEDg Description generation batch_6a250aa86fc08190aaea94c6a6476a03 completed June 7, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_6a250eb93bc4819088c3b590253dc864 completed June 7, 2026, 6:24 a.m.
Created at: April 28, 2026, 9:55 a.m.