Triple

T10218938
Position Surface form Disambiguated ID Type / Status
Subject Trent Tucker E242521 entity
Predicate givenName P17 FINISHED
Object Trent
Trent is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
 E16617 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: Trent | Statement: [Trent Tucker, givenName, Trent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trent
Context triple: [Trent Tucker, givenName, Trent]
  • A. Trent
    The Trent is one of the principal rivers in England, flowing through the Midlands and joining the Humber estuary before reaching the North Sea.
  • B. Son
    The Son is a major south-flowing river in central and eastern India, known as a key tributary of the Ganges and an important waterway for the regions it traverses.
  • C. Son
    Son is a Japanese surname most prominently associated with Masayoshi Son, the billionaire founder and CEO of SoftBank.
  • D. Mackenzie
    Mackenzie is a feminine given name of Scottish origin that has become popular in English-speaking countries.
  • E. Niles
    Niles is the witty, sarcastic butler from the sitcom "The Nanny," known for his sharp one-liners and ongoing rivalry with C.C. Babcock.
  • 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: Trent
Triple: [Trent Tucker, givenName, Trent]
Generated description
Trent is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trent
Target entity description: Trent is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
  • A. Trent chosen
    The Trent is one of the principal rivers in England, flowing through the Midlands and joining the Humber estuary before reaching the North Sea.
  • B. Son
    The Son is a major south-flowing river in central and eastern India, known as a key tributary of the Ganges and an important waterway for the regions it traverses.
  • C. Son
    Son is a Japanese surname most prominently associated with Masayoshi Son, the billionaire founder and CEO of SoftBank.
  • D. Mackenzie
    Mackenzie is a feminine given name of Scottish origin that has become popular in English-speaking countries.
  • E. Niles
    Niles is the witty, sarcastic butler from the sitcom "The Nanny," known for his sharp one-liners and ongoing rivalry with C.C. Babcock.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa715a3c8190a9ccee7bcece0346 completed April 6, 2026, 12:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6a81e72ec8190a30121fc1c86641e completed April 8, 2026, 7:10 p.m.
NEDg Description generation batch_69d6aa57c19c81909611162d1d067da8 completed April 8, 2026, 7:19 p.m.
NED2 Entity disambiguation (via description) batch_69d6d02015bc8190a7041a7d725c8a1b completed April 8, 2026, 10:01 p.m.
Created at: April 6, 2026, 11:08 a.m.