Triple

T10125735
Position Surface form Disambiguated ID Type / Status
Subject Mahendra E226209 entity
Predicate hasRelationshipWith P2830 FINISHED
Object Binodini E235118 NE 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: Binodini | Statement: [Mahendra, hasRelationshipWith, Binodini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Binodini
Context triple: [Mahendra, hasRelationshipWith, Binodini]
  • A. Binodini chosen
    Binodini is the intelligent, complex, and emotionally conflicted young widow at the center of Rabindranath Tagore’s Bengali novel "Chokher Bali."
  • B. Bimala
    Bimala is the central female protagonist and introspective narrator of Rabindranath Tagore’s novel "The Home and the World," whose personal awakening unfolds amid political and emotional turmoil.
  • C. Aruna
    Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
  • D. Aruna
    Aruna is a figure in Hindu mythology known as the personified dawn and the divine charioteer who drives the sun god Surya across the sky.
  • E. Nabaneeta
    Nabaneeta is a feminine given name most notably borne by the acclaimed Indian Bengali writer and academic Nabaneeta Dev Sen.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd2ed85b4819097dfe89e044e1a90 completed April 2, 2026, 2:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6a7bbfdb0819080377d3402bcfec3 completed April 8, 2026, 7:08 p.m.
Created at: March 30, 2026, 9:05 p.m.