Triple

T2285224
Position Surface form Disambiguated ID Type / Status
Subject Tiffany E51374 entity
Predicate hasVariant P455 FINISHED
Object Tiffani
Tiffani is a given name, typically a modern variant of the name Tiffany used for girls.
 E252327 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: Tiffani | Statement: [Tiffany, hasVariant, Tiffani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tiffani
Context triple: [Tiffany, hasVariant, Tiffani]
  • A. Bridgette
    Bridgette is a feminine given name commonly used in English-speaking countries, often considered a variant of "Bridget."
  • B. Tiana Rogers
    Tiana Rogers was a Cherokee woman known for her marriage to Sam Houston, the American statesman and leader of the Republic of Texas.
  • 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 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. Nicole
    Nicole is a central character in Margaret Atwood's dystopian novel "The Testaments," whose story helps expose and challenge the oppressive regime of Gilead.
  • 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: Tiffani
Triple: [Tiffany, hasVariant, Tiffani]
Generated description
Tiffani is a given name, typically a modern variant of the name Tiffany used for girls.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tiffani
Target entity description: Tiffani is a given name, typically a modern variant of the name Tiffany used for girls.
  • A. Bridgette
    Bridgette is a feminine given name commonly used in English-speaking countries, often considered a variant of "Bridget."
  • B. Tiana Rogers
    Tiana Rogers was a Cherokee woman known for her marriage to Sam Houston, the American statesman and leader of the Republic of Texas.
  • 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 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. Nicole
    Nicole is a central character in Margaret Atwood's dystopian novel "The Testaments," whose story helps expose and challenge the oppressive regime of Gilead.
  • 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_69a88b08e4308190bdac9aebcca1c91a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc245dd208190b13c5f5d05aa6990 completed March 7, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f1759b081908842f7ad189994ff completed March 9, 2026, 8:04 a.m.
NEDg Description generation batch_69ae7fc194488190bb71124f0225a521 completed March 9, 2026, 8:07 a.m.
NED2 Entity disambiguation (via description) batch_69ae802d03648190a71303daf20e6162 completed March 9, 2026, 8:09 a.m.
Created at: March 4, 2026, 7:48 p.m.