Triple

T21717295
Position Surface form Disambiguated ID Type / Status
Subject Suzy Chaffee E536062 entity
Predicate givenName P17 FINISHED
Object Suzy
Suzy is a feminine given name, often used as a diminutive of Susan or Suzanne.
E1498663 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 Chaffee, givenName, Suzy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suzy
Context triple: [Suzy Chaffee, givenName, 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. 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.
  • 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. Suzie
    Suzie is a Canadian film written and directed by Micheline Lanctôt, known for its intimate, character-driven storytelling.
  • 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 Chaffee, givenName, Suzy]
Generated description
Suzy is a feminine given name, often used as a diminutive of Susan or Suzanne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Suzy
Target entity description: Suzy is a feminine given name, often used as a diminutive of Susan or Suzanne.
  • 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. 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.
  • D. Suzie
    Suzie is a Canadian film written and directed by Micheline Lanctôt, known for its intimate, character-driven storytelling.
  • E. 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.
  • 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd96babdc81908226ec043dbe7431 completed April 27, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a24b5bb58819095b009a2b66487cb completed May 17, 2026, 8:27 p.m.
NEDg Description generation batch_6a0a270eedcc8190b04b3c6b662dc0db completed May 17, 2026, 8:37 p.m.
NED2 Entity disambiguation (via description) batch_6a0a27d9bb248190b65da5cb50c332ec completed May 17, 2026, 8:40 p.m.
Created at: April 16, 2026, 6:47 p.m.