Triple

T4845911
Position Surface form Disambiguated ID Type / Status
Subject Tina Charles E108289 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 Charles, givenName, Tina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tina
Context triple: [Tina Charles, givenName, 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. Tania
    Tania is a feminine given name commonly used as a diminutive or variant of names like Tatyana or Tatiana.
  • E. Tia
    Tia is a feminine given name, often used as a short form of longer names such as Timothea.
  • 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 Charles, 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
    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. Tania
    Tania is a feminine given name commonly used as a diminutive or variant of names like Tatyana or Tatiana.
  • E. Tia
    Tia is a feminine given name, often used as a short form of longer names such as Timothea.
  • 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_69bd4409b264819085ab855f3eb5381a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d19784c81908e256ea23889192b completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67d70dd0819094b6b2906a9d03b5 completed March 21, 2026, 9:41 a.m.
NEDg Description generation batch_69be6846dfdc8190b45afc3fe92724fc completed March 21, 2026, 9:43 a.m.
NED2 Entity disambiguation (via description) batch_69be68c77c088190a57376c608abe4c0 completed March 21, 2026, 9:45 a.m.
Created at: March 20, 2026, 1:25 p.m.