Triple

T8013649
Position Surface form Disambiguated ID Type / Status
Subject Priti Patel E186556 entity
Predicate givenName P17 FINISHED
Object Priti
Priti is the given name of British politician Priti Patel, who served as the United Kingdom’s Home Secretary.
 E707511 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: Priti | Statement: [Priti Patel, givenName, Priti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Priti
Context triple: [Priti Patel, givenName, Priti]
  • A. Pratibha
    Pratibha is an Indian feminine given name most prominently associated with Pratibha Patil, the first woman to serve as President of India.
  • B. Vishnupriya
    Vishnupriya was the second wife of the 16th-century Bengali saint and Vaishnava reformer Chaitanya Mahaprabhu, revered in Gaudiya Vaishnavism for her devotion and renunciation.
  • C. Pramila
    Pramila is a prominent female warrior character in the Bengali epic poem "Meghnad Badh Kavya," known for her valor and tragic role in the retelling of the Ramayana.
  • D. Pranhita
    Pranhita is a major river in central India that flows through the states of Maharashtra and Telangana before joining the Godavari River.
  • E. Madhavi
    Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
  • 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: Priti
Triple: [Priti Patel, givenName, Priti]
Generated description
Priti is the given name of British politician Priti Patel, who served as the United Kingdom’s Home Secretary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Priti
Target entity description: Priti is the given name of British politician Priti Patel, who served as the United Kingdom’s Home Secretary.
  • A. Pratibha
    Pratibha is an Indian feminine given name most prominently associated with Pratibha Patil, the first woman to serve as President of India.
  • B. Vishnupriya
    Vishnupriya was the second wife of the 16th-century Bengali saint and Vaishnava reformer Chaitanya Mahaprabhu, revered in Gaudiya Vaishnavism for her devotion and renunciation.
  • C. Pramila
    Pramila is a prominent female warrior character in the Bengali epic poem "Meghnad Badh Kavya," known for her valor and tragic role in the retelling of the Ramayana.
  • D. Pranhita
    Pranhita is a major river in central India that flows through the states of Maharashtra and Telangana before joining the Godavari River.
  • E. Madhavi
    Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3df0f4bc8190ae87586972018085 completed March 31, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56b4608081909c546d56129d1164 completed March 31, 2026, 11:20 p.m.
NEDg Description generation batch_69cc58ecd0608190ab0880992bc203fb completed March 31, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cb791b48190bd5004b518d23f84 completed March 31, 2026, 11:45 p.m.
Created at: March 30, 2026, 5:19 p.m.