Triple

T972672
Position Surface form Disambiguated ID Type / Status
Subject Nabaneeta Dev Sen E20977 entity
Predicate notableWork P4 FINISHED
Object Naba-Nita
Naba-Nita is a notable literary work by acclaimed Indian writer and scholar Nabaneeta Dev Sen.
 E141496 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: Naba-Nita | Statement: [Nabaneeta Dev Sen, notableWork, Naba-Nita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Naba-Nita
Context triple: [Nabaneeta Dev Sen, notableWork, Naba-Nita]
  • A. Nain
    Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
  • B. Nikkiya
    Nikkiya is an American singer and rapper known for her collaborations in hip-hop and R&B, particularly with producer and artist K.E. on the Track (Keys).
  • C. Anuta
    Anuta is a small, remote Polynesian outlier island in the Solomon Islands known for its dense population, strong communal culture, and well-preserved traditional way of life.
  • D. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • E. Ahirani
    Ahirani is an Indo-Aryan dialect spoken primarily in the Khandesh region of Maharashtra, India, closely related to Marathi but with distinct phonological and lexical features.
  • 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: Naba-Nita
Triple: [Nabaneeta Dev Sen, notableWork, Naba-Nita]
Generated description
Naba-Nita is a notable literary work by acclaimed Indian writer and scholar Nabaneeta Dev Sen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Naba-Nita
Target entity description: Naba-Nita is a notable literary work by acclaimed Indian writer and scholar Nabaneeta Dev Sen.
  • A. Nain
    Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
  • B. Nikkiya
    Nikkiya is an American singer and rapper known for her collaborations in hip-hop and R&B, particularly with producer and artist K.E. on the Track (Keys).
  • C. Anuta
    Anuta is a small, remote Polynesian outlier island in the Solomon Islands known for its dense population, strong communal culture, and well-preserved traditional way of life.
  • D. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • E. Ahirani
    Ahirani is an Indo-Aryan dialect spoken primarily in the Khandesh region of Maharashtra, India, closely related to Marathi but with distinct phonological and lexical features.
  • 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_69a493b33d2c81909c52c369d3ca8436 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b44c38f08190997e141d424e9e04 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac89f641c48190b7cff1073852a228 completed March 7, 2026, 8:26 p.m.
NEDg Description generation batch_69ac8a6805c88190a54d219e2b46afb3 completed March 7, 2026, 8:28 p.m.
NED2 Entity disambiguation (via description) batch_69ac8ad15e7c8190b596ee5f4b9d0469 completed March 7, 2026, 8:30 p.m.
Created at: March 1, 2026, 7:40 p.m.