Triple

T22210000
Position Surface form Disambiguated ID Type / Status
Subject Tina Kennard E548915 entity
Predicate givenName P17 FINISHED
Object Tina
Tina is a feminine given name commonly used in English-speaking countries, often as a diminutive of names like Christina, Martina, or Valentina.
 E475921 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: [Tina Kennard, givenName, Tina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tina
Context triple: [Tina Kennard, givenName, Tina]
  • A. Tina
    Tina, formally known as Baroness Stowell of Beeston, is a British Conservative politician and life peer in the House of Lords.
  • B. Tina
    Tina is a character portrayed by actress and comedian Melissa Rauch, known for her energetic and distinctive vocal performances.
  • C. Tina
    Tina is the nickname and given name of Indian author, columnist, and former Bollywood actress Twinkle Khanna.
  • D. 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.
  • E. Tina
    Tina is a fictional character portrayed by American actress Idara Victor.
  • 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: [Tina Kennard, givenName, Tina]
Generated description
Tina is a feminine given name commonly used in English-speaking countries, often as a diminutive of names like Christina, Martina, or Valentina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tina
Target entity description: Tina is a feminine given name commonly used in English-speaking countries, often as a diminutive of names like Christina, Martina, or Valentina.
  • A. Tina chosen
    Tina is a feminine given name commonly used in English-speaking countries, often as a diminutive of names like Christina, Martina, or Valentina.
  • 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 is the nickname and given name of Indian author, columnist, and former Bollywood actress Twinkle Khanna.
  • D. Tina
    Tina is a fictional character portrayed by American actress Idara Victor.
  • E. Tina
    Tina is the central protagonist of the television series "Minx," around whom the show's storylines and character dynamics revolve.
  • F. None of above.

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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b2aefb881909bddbabd4be0bd58 completed April 28, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aa61cc9e48190ba5f6eb2a7cf3c9b completed May 18, 2026, 5:39 a.m.
NEDg Description generation batch_6a0aa6c001d48190b49866f02514aa28 completed May 18, 2026, 5:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa74204a081909fa0d80858bfa6bb completed May 18, 2026, 5:44 a.m.
Created at: April 16, 2026, 8:36 p.m.