Triple

T20153145
Position Surface form Disambiguated ID Type / Status
Subject Suzy Berhow E491486 entity
Predicate nickname P55 FINISHED
Object Suzy
Suzy is an American YouTuber, artist, and animator best known for her work on the channel Mortem3r and her appearances in the Game Grumps community.
 E1415973 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: Suzy | Statement: [Suzy Berhow, nickname, Suzy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Suzy
Context triple: [Suzy Berhow, nickname, Suzy]
  • A. Suzy
    Suzy is the central female protagonist of John Steinbeck’s novel "Sweet Thursday," known for her independent spirit and evolving relationship with Doc in the Cannery Row community.
  • B. Suzy
    Suzy is a fictional character from the film "Cashback," portrayed by actress Michelle Ryan.
  • C. Suzie
    Suzie is a brilliant, tech-savvy girl from Stranger Things who helps Dustin Henderson and his friends by providing crucial scientific and hacking assistance.
  • D. Suzie
    Suzie is a Canadian film written and directed by Micheline Lanctôt, known for its intimate, character-driven storytelling.
  • E. Suze
    Suze is the nickname of Suze Rotolo, an American artist and political activist best known for her relationship with Bob Dylan in the early 1960s.
  • 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: Suzy
Triple: [Suzy Berhow, nickname, Suzy]
Generated description
Suzy is an American YouTuber, artist, and animator best known for her work on the channel Mortem3r and her appearances in the Game Grumps community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Suzy
Target entity description: Suzy is an American YouTuber, artist, and animator best known for her work on the channel Mortem3r and her appearances in the Game Grumps community.
  • A. Suzy
    Suzy is a fictional character from the film "Cashback," portrayed by actress Michelle Ryan.
  • B. Suzy
    Suzy is the central female protagonist of John Steinbeck’s novel "Sweet Thursday," known for her independent spirit and evolving relationship with Doc in the Cannery Row community.
  • C. Suzie
    Suzie is a Canadian film written and directed by Micheline Lanctôt, known for its intimate, character-driven storytelling.
  • D. Suzie
    Suzie is a brilliant, tech-savvy girl from Stranger Things who helps Dustin Henderson and his friends by providing crucial scientific and hacking assistance.
  • E. Suze
    The Suze is a river in western Switzerland that flows through the Jura region and the city of Biel/Bienne before emptying into Lake Biel.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667dda9b4819097ff66bb2b50fc21 completed April 20, 2026, 5:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a083c706f308190ad80117a046aecdc completed May 16, 2026, 9:44 a.m.
NEDg Description generation batch_6a083d5360cc8190b5c3e2df33b6ef2b completed May 16, 2026, 9:48 a.m.
NED2 Entity disambiguation (via description) batch_6a083dce8b8881908c26f6fe5ba8a8cc completed May 16, 2026, 9:50 a.m.
Created at: April 11, 2026, 11:34 p.m.