Triple

T17234959
Position Surface form Disambiguated ID Type / Status
Subject GLC Mumbai E418333 entity
Predicate hasNotableAlumni P51 FINISHED
Object Harish Salve E363370 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: Harish Salve | Statement: [GLC Mumbai, hasNotableAlumni, Harish Salve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harish Salve
Context triple: [GLC Mumbai, hasNotableAlumni, Harish Salve]
  • A. Harish Salve chosen
    Harish Salve is a prominent Indian senior advocate and former Solicitor General of India, renowned for representing India in several high-profile cases before the Supreme Court and international tribunals.
  • B. Deepak Tilak
    Deepak Tilak is an Indian academic and educationist known for his leadership roles in higher education institutions and contributions to Marathi literature and culture.
  • C. Udaybhan Rathod
    Udaybhan Rathod is a historically noted Rajput commander, often depicted in legend and popular culture as the Mughal-aligned fort chief who defended Sinhagad against the Maratha forces of Tanaji Malusare.
  • D. Sunil Sukthankar
    Sunil Sukthankar is an acclaimed Indian filmmaker known for his influential work in contemporary Marathi cinema, often focusing on socially relevant and realistic themes.
  • E. Aravind Joshi
    Aravind Joshi was an Indian-American computer scientist and computational linguist known for pioneering work in formal grammar formalisms, particularly Tree Adjoining Grammars, and for foundational contributions to natural language processing.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dfb04e481909f4ee3ed31fffe10 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01676382388190ab82bd10bd53f59e completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:39 a.m.