Triple

T23986620
Position Surface form Disambiguated ID Type / Status
Subject Greenford E604956 entity
Predicate hasNotableCompanyHistory P61859 FINISHED
Object J. Lyons and Co.
J. Lyons and Co. was a major British food manufacturing, catering, and hospitality company renowned for its teashops, corner houses, and early role in commercial computing.
 E1612090 NE FINISHED

How this triple was built (3 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: J. Lyons and Co. | Statement: [Greenford, hasNotableCompanyHistory, J. Lyons and Co.]
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: J. Lyons and Co.
Triple: [Greenford, hasNotableCompanyHistory, J. Lyons and Co.]
Generated description
J. Lyons and Co. was a major British food manufacturing, catering, and hospitality company renowned for its teashops, corner houses, and early role in commercial computing.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasNotableCompanyHistory
Context triple: [Greenford, hasNotableCompanyHistory, J. Lyons and Co.]
  • A. hasNotableCompany
    Indicates that an entity is associated with or linked to a company that is considered notable or significant in some context.
  • B. notableCompanyHistory chosen
    Indicates that there exists a significant or historically important relationship or event involving the company and the subject entity.
  • C. hasNotableHistoricalAssociation
    Indicates that there is a significant connection between an entity and an important historical event, figure, period, or development.
  • D. hasMajorShareholderHistory
    Indicates that an entity has had one or more major shareholders at some point in its history.
  • E. hasUnderlyingCompanyWellKnownFor
    Indicates that an entity is associated with an underlying company that is widely recognized or notable.
  • F. None of above.

Provenance (6 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_69e295463f7c8190b1c19dbd114641b9 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1d2c1d4508190905a3eb2d98a248b completed April 29, 2026, 9:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7e8a2ad08190b6ed10936e770d29 completed May 21, 2026, 9:52 p.m.
NEDg Description generation batch_6a0f7effdaec8190ad809bb1f17fa883 completed May 21, 2026, 9:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0f7f84f8c881909f889b0b0ef7fd27 completed May 21, 2026, 9:56 p.m.
PD Predicate disambiguation batch_69f161578d54819084a8b35496299993 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 9:36 p.m.