Triple

T505782
Position Surface form Disambiguated ID Type / Status
Subject Jhumpa Lahiri E10499 entity
Predicate familyOrigin P194 FINISHED
Object Bengali LITERAL FINISHED

How this triple was built (2 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: Bengali | Statement: [Jhumpa Lahiri, familyOrigin, Bengali]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: familyOrigin
Context triple: [Jhumpa Lahiri, familyOrigin, Bengali]
  • A. familyAspect
    Indicates a relationship where one entity is characterized by a particular familial role, status, or aspect in relation to another entity.
  • B. family
    Indicates a familial relationship or connection between entities, such as being related by blood, marriage, or adoption.
  • C. ethnicOrigin chosen
    Indicates the relationship where an entity is associated with a particular ethnic group or ancestry.
  • D. motherFrom
    Indicates that one entity is the mother (biological or adoptive) of another entity, specifying a maternal parent-child relationship from the mother to the child.
  • E. fatherFrom
    Indicates a parental relationship where one entity is the biological or legal father of another entity.
  • F. None of above.

Provenance (3 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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f14b2acc8190818e8a53eac69c54 completed Feb. 28, 2026, 1:44 p.m.
PD Predicate disambiguation batch_69a2edfce7a08190a408bc019de60d5d completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.