Triple

T9794751
Position Surface form Disambiguated ID Type / Status
Subject Living Doll E237690 entity
Predicate featuresCharacter P626 FINISHED
Object Talky Tina
Talky Tina is the sinister talking doll from the classic TV series "The Twilight Zone," known for terrorizing a man who mistreats her owner.
 E822287 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: Talky Tina | Statement: [Living Doll, featuresCharacter, Talky Tina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Talky Tina
Context triple: [Living Doll, featuresCharacter, Talky Tina]
  • A. Tina
    Tina is a character portrayed by actress and comedian Melissa Rauch, known for her energetic and distinctive vocal performances.
  • B. Tina
    Tina is the nickname of Tina Fey, an American comedian, writer, actress, and producer best known for her work on Saturday Night Live and 30 Rock.
  • C. Tina
    Tina, formally known as Baroness Stowell of Beeston, is a British Conservative politician and life peer in the House of Lords.
  • D. Tina
    Tina is a fictional character portrayed by American actress Idara Victor.
  • E. Tina
    Tina is a feminine given name commonly used in English-speaking countries, often as a diminutive of names like Christina, Martina, or Valentina.
  • 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: Talky Tina
Triple: [Living Doll, featuresCharacter, Talky Tina]
Generated description
Talky Tina is the sinister talking doll from the classic TV series "The Twilight Zone," known for terrorizing a man who mistreats her owner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Talky Tina
Target entity description: Talky Tina is the sinister talking doll from the classic TV series "The Twilight Zone," known for terrorizing a man who mistreats her owner.
  • A. Tina
    Tina is a character portrayed by actress and comedian Melissa Rauch, known for her energetic and distinctive vocal performances.
  • B. Tina
    Tina is the nickname of Tina Fey, an American comedian, writer, actress, and producer best known for her work on Saturday Night Live and 30 Rock.
  • C. Tina
    Tina, formally known as Baroness Stowell of Beeston, is a British Conservative politician and life peer in the House of Lords.
  • D. Tina
    Tina is a fictional character portrayed by American actress Idara Victor.
  • E. Tina
    Tina is a feminine given name commonly used in English-speaking countries, often as a diminutive of names like Christina, Martina, or Valentina.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda34916dc8190acef2ba003e56a33 completed April 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c43bccfc81909b940b180fe26626 completed April 5, 2026, 2:09 a.m.
NEDg Description generation batch_69d1c5e6a2f881908666328ce72a95ed completed April 5, 2026, 2:16 a.m.
NED2 Entity disambiguation (via description) batch_69d1c68311008190b2d5b8a2fadfba69 completed April 5, 2026, 2:18 a.m.
Created at: March 30, 2026, 8:28 p.m.