Triple

T10201340
Position Surface form Disambiguated ID Type / Status
Subject Seed of Chucky E238888 entity
Predicate mainCharacter P1183 FINISHED
Object Glenda
Glenda is a character from the horror-comedy film "Seed of Chucky," known as the gender-fluid child of the killer dolls Chucky and Tiffany.
 E847419 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: Glenda | Statement: [Seed of Chucky, mainCharacter, Glenda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Glenda
Context triple: [Seed of Chucky, mainCharacter, Glenda]
  • A. Gladys
    Gladys is a feminine given name of English origin that was especially popular in the late 19th and early 20th centuries.
  • B. Glennis
    Glennis is a feminine given name, best known for belonging to Glennis Dickhouse Yeager, the wife of test pilot Chuck Yeager and namesake of the Bell X-1 aircraft "Glamorous Glennis."
  • C. Glenna
    Glenna is a fictional character distinguished by her prominent horns, often depicted as a horned or demonic figure in her narrative setting.
  • D. Judy
    Judy was the Allied reporting name for the Japanese Yokosuka D4Y carrier-based dive bomber used by the Imperial Japanese Navy during World War II.
  • E. Judy
    Judy is the familiar nickname of Judy Agnew, who was the Second Lady of the United States during Spiro Agnew’s vice presidency.
  • 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: Glenda
Triple: [Seed of Chucky, mainCharacter, Glenda]
Generated description
Glenda is a character from the horror-comedy film "Seed of Chucky," known as the gender-fluid child of the killer dolls Chucky and Tiffany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Glenda
Target entity description: Glenda is a character from the horror-comedy film "Seed of Chucky," known as the gender-fluid child of the killer dolls Chucky and Tiffany.
  • A. Gladys
    Gladys is a feminine given name of English origin that was especially popular in the late 19th and early 20th centuries.
  • B. Glennis
    Glennis is a feminine given name, best known for belonging to Glennis Dickhouse Yeager, the wife of test pilot Chuck Yeager and namesake of the Bell X-1 aircraft "Glamorous Glennis."
  • C. Glenna
    Glenna is a fictional character distinguished by her prominent horns, often depicted as a horned or demonic figure in her narrative setting.
  • D. Judy
    Judy is the familiar nickname of Judy Agnew, who was the Second Lady of the United States during Spiro Agnew’s vice presidency.
  • E. Judy
    Judy was the Allied reporting name for the Japanese Yokosuka D4Y carrier-based dive bomber used by the Imperial Japanese Navy during World War II.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdee40cb7481908a1bf4d5636eb8ef completed April 2, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317f40f0c8190a3d966c934cc20f7 completed April 6, 2026, 2:18 a.m.
NEDg Description generation batch_69d3188886908190ba0a5539ce942980 completed April 6, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69d31c4fb8288190bbc6b3d4a79dafb1 completed April 6, 2026, 2:37 a.m.
Created at: March 30, 2026, 9:14 p.m.