Triple

T12630533
Position Surface form Disambiguated ID Type / Status
Subject Aruna E301627 entity
Predicate hasNotableBearer P458 FINISHED
Object Aruna Asaf Ali E54212 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: Aruna Asaf Ali | Statement: [Aruna, hasNotableBearer, Aruna Asaf Ali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aruna Asaf Ali
Context triple: [Aruna, hasNotableBearer, Aruna Asaf Ali]
  • A. Aruna Asaf Ali chosen
    Aruna Asaf Ali was an Indian freedom fighter and political activist renowned for her prominent role in the independence struggle, particularly during the Quit India movement.
  • B. Lalita Shastri
    Lalita Shastri was an Indian social worker and writer best known as the wife of India’s second Prime Minister, Lal Bahadur Shastri.
  • C. Nargis Dutt
    Nargis Dutt was a pioneering and acclaimed Indian film actress, best known for her powerful performances in classic Hindi cinema such as "Mother India" and for her influential legacy in Indian film history.
  • D. Ritu Nanda
    Ritu Nanda was an Indian businesswoman and insurance advisor, best known as a member of the prominent Kapoor film family and for setting industry records in the insurance sector.
  • E. Gita Sen
    Gita Sen is an Indian actress known for her frequent collaborations with her husband, acclaimed filmmaker Mrinal Sen, in Bengali parallel cinema.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610ce9e48190a496824002c0d2be completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6686f9ba48190bd82b2bb037d7d7a completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:15 p.m.