Triple

T976852
Position Surface form Disambiguated ID Type / Status
Subject TED Prize E21072 entity
Predicate notableRecipient P108 FINISHED
Object JR
JR is a French street artist and photographer renowned for his large-scale public art installations that transform urban spaces and address social and political issues worldwide.
 E114274 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: JR | Statement: [TED Prize, notableRecipient, JR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JR
Context triple: [TED Prize, notableRecipient, JR]
  • A. J
    J is a New York City Subway service that runs through Brooklyn and Queens into Manhattan, serving neighborhoods in eastern Brooklyn and southern Queens.
  • B. Jo
    Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
  • C. JB
    JB is the standard abbreviation for the Jerusalem Bible, a widely used English translation of the Catholic Bible first published in the 1960s.
  • D. JM
    JM is the two-letter ISO 3166-1 alpha-2 country code assigned to Jamaica for international standardization and identification purposes.
  • E. JO
    JO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Hashemite Kingdom of Jordan.
  • 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: JR
Triple: [TED Prize, notableRecipient, JR]
Generated description
JR is a French street artist and photographer renowned for his large-scale public art installations that transform urban spaces and address social and political issues worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JR
Target entity description: JR is a French street artist and photographer renowned for his large-scale public art installations that transform urban spaces and address social and political issues worldwide.
  • A. J
    J is a New York City Subway service that runs through Brooklyn and Queens into Manhattan, serving neighborhoods in eastern Brooklyn and southern Queens.
  • B. Jo
    Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
  • C. JB
    JB is the standard abbreviation for the Jerusalem Bible, a widely used English translation of the Catholic Bible first published in the 1960s.
  • D. JM
    JM is the two-letter ISO 3166-1 alpha-2 country code assigned to Jamaica for international standardization and identification purposes.
  • E. JO
    JO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Hashemite Kingdom of Jordan.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b46344048190b7a13b8f3ad9f455 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac170e8a008190a40001224f8dae2a completed March 7, 2026, 12:16 p.m.
NEDg Description generation batch_69ac1787a9ac81908f032cd893d3efe8 completed March 7, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_69ac1807aa388190ad2910966c9d1b04 completed March 7, 2026, 12:20 p.m.
Created at: March 1, 2026, 7:40 p.m.