Triple

T8391727
Position Surface form Disambiguated ID Type / Status
Subject Melissa Rauch E197957 entity
Predicate hasRole P161 FINISHED
Object Tina
Tina is a character portrayed by actress and comedian Melissa Rauch, known for her energetic and distinctive vocal performances.
 E730885 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: Tina | Statement: [Melissa Rauch, hasRole, Tina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tina
Context triple: [Melissa Rauch, hasRole, Tina]
  • A. 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.
  • B. Tina
    Tina, formally known as Baroness Stowell of Beeston, is a British Conservative politician and life peer in the House of Lords.
  • C. Tina
    Tina is a fictional character portrayed by American actress Idara Victor.
  • D. Tina
    Tina is a feminine given name commonly used in English-speaking countries, often as a diminutive of names like Christina, Martina, or Valentina.
  • E. Tania
    Tania is a feminine given name commonly used as a diminutive or variant of names like Tatyana or Tatiana.
  • 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: Tina
Triple: [Melissa Rauch, hasRole, Tina]
Generated description
Tina is a character portrayed by actress and comedian Melissa Rauch, known for her energetic and distinctive vocal performances.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tina
Target entity description: Tina is a character portrayed by actress and comedian Melissa Rauch, known for her energetic and distinctive vocal performances.
  • A. 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.
  • B. Tina
    Tina, formally known as Baroness Stowell of Beeston, is a British Conservative politician and life peer in the House of Lords.
  • C. Tina
    Tina is a fictional character portrayed by American actress Idara Victor.
  • D. Tina
    Tina is a feminine given name commonly used in English-speaking countries, often as a diminutive of names like Christina, Martina, or Valentina.
  • E. Tania
    Tania is a feminine given name commonly used as a diminutive or variant of names like Tatyana or Tatiana.
  • 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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb810e16b081908e2c25bfb9d590ed completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde84d6f3c8190ba12905ba5900087 completed April 2, 2026, 3:53 a.m.
NEDg Description generation batch_69cdebfc63e8819087f5c1d588b58e21 completed April 2, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69cded77618c81909e8786ccd2f3e4b6 completed April 2, 2026, 4:15 a.m.
Created at: March 30, 2026, 6:03 p.m.