Triple

T3332879
Position Surface form Disambiguated ID Type / Status
Subject Preston Robert Tisch E70073 entity
Predicate givenName P17 FINISHED
Object Preston
Preston is a masculine given name of English origin that has been used both as a first name and a surname.
 E348091 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: Preston | Statement: [Preston Robert Tisch, givenName, Preston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Preston
Context triple: [Preston Robert Tisch, givenName, Preston]
  • A. Preston
    Preston is a historic industrial city in Lancashire, England, known for its role in the Industrial Revolution and its status as a major urban center in the North West.
  • B. Preston
    Preston is a locality within the Dover District of Kent, England, known as a small rural village community.
  • C. Manchester–Preston
    Manchester–Preston is a key railway corridor in North West England linking the city of Manchester with Preston and serving as part of the region’s intercity and commuter network.
  • D. Corby
    Corby is a town in Northamptonshire, England, known for its steel industry heritage and significant Scottish community.
  • E. Bradford
    Bradford is a major city in West Yorkshire, Northern England, known for its industrial heritage, diverse population, and role in the wool and textile industries.
  • 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: Preston
Triple: [Preston Robert Tisch, givenName, Preston]
Generated description
Preston is a masculine given name of English origin that has been used both as a first name and a surname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Preston
Target entity description: Preston is a masculine given name of English origin that has been used both as a first name and a surname.
  • A. Preston
    Preston is a historic industrial city in Lancashire, England, known for its role in the Industrial Revolution and its status as a major urban center in the North West.
  • B. Preston
    Preston is a locality within the Dover District of Kent, England, known as a small rural village community.
  • C. Manchester–Preston
    Manchester–Preston is a key railway corridor in North West England linking the city of Manchester with Preston and serving as part of the region’s intercity and commuter network.
  • D. Corby
    Corby is a town in Northamptonshire, England, known for its steel industry heritage and significant Scottish community.
  • E. Bradford
    Bradford is a major city in West Yorkshire, Northern England, known for its industrial heritage, diverse population, and role in the wool and textile industries.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb194960081909333c855f06d8b03 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a867cac81909ddde955c1752ab8 completed March 12, 2026, 7:56 p.m.
NEDg Description generation batch_69b31c37f3a08190823c32e8f933ce82 completed March 12, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69b31caa4e188190b4dfd613fdaebdb6 completed March 12, 2026, 8:06 p.m.
Created at: March 8, 2026, 3:12 p.m.