Triple

T9132136
Position Surface form Disambiguated ID Type / Status
Subject Taylour Paige E219110 entity
Predicate givenName P17 FINISHED
Object Taylour
Taylour is a feminine given name most notably borne by American actress and dancer Taylour Paige.
 E780264 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: Taylour | Statement: [Taylour Paige, givenName, Taylour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taylour
Context triple: [Taylour Paige, givenName, Taylour]
  • A. Taylors
    Taylors is a suburban community in South Carolina, United States, located near the city of Greenville.
  • B. Tay
    The Tay are one of Vietnam's largest ethnic minority groups, known for their distinct language, stilt-house architecture, and traditional farming communities in northern mountainous regions.
  • C. Tay
    The Tay is the longest river in Scotland, flowing through Perth and Dundee before emptying into the North Sea.
  • D. Mi Taylor
    Mi Taylor is a key character in the novel and film "National Velvet," known as the resourceful former jockey who helps Velvet Brown train and race her horse.
  • E. Taylor & Taylor
    Taylor & Taylor was a historical British publishing firm known for producing scientific and philosophical periodicals in the 19th century.
  • 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: Taylour
Triple: [Taylour Paige, givenName, Taylour]
Generated description
Taylour is a feminine given name most notably borne by American actress and dancer Taylour Paige.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taylour
Target entity description: Taylour is a feminine given name most notably borne by American actress and dancer Taylour Paige.
  • A. Taylors
    Taylors is a suburban community in South Carolina, United States, located near the city of Greenville.
  • B. Tay
    The Tay are one of Vietnam's largest ethnic minority groups, known for their distinct language, stilt-house architecture, and traditional farming communities in northern mountainous regions.
  • C. Tay
    The Tay is the longest river in Scotland, flowing through Perth and Dundee before emptying into the North Sea.
  • D. Mi Taylor
    Mi Taylor is a key character in the novel and film "National Velvet," known as the resourceful former jockey who helps Velvet Brown train and race her horse.
  • E. Taylor & Taylor
    Taylor & Taylor was a historical British publishing firm known for producing scientific and philosophical periodicals in the 19th century.
  • 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8db7d808190bd22b0e5a6f9c285 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d047dc25208190a720910e6d43199b completed April 3, 2026, 11:06 p.m.
NEDg Description generation batch_69d049058dec81909854965276252808 completed April 3, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_69d049913b7481909ccbaf4999e37c06 completed April 3, 2026, 11:13 p.m.
Created at: March 30, 2026, 7:18 p.m.