Triple

T10406062
Position Surface form Disambiguated ID Type / Status
Subject Monkombu Sambasivan Swaminathan E245265 entity
Predicate givenName P17 FINISHED
Object Sambasivan E245265 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: Sambasivan | Statement: [Monkombu Sambasivan Swaminathan, givenName, Sambasivan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sambasivan
Context triple: [Monkombu Sambasivan Swaminathan, givenName, Sambasivan]
  • A. Sambasivan chosen
    Sambasivan is the given name of Monkombu Sambasivan Swaminathan, the renowned Indian agricultural scientist known as the father of India’s Green Revolution.
  • B. Murasoli
    Murasoli is the official Tamil-language newspaper and party organ of the Dravida Munnetra Kazhagam (DMK) in Tamil Nadu, India.
  • C. Sambir
    Sambir is a small historic city in western Ukraine known for its medieval roots and location within the Lviv Oblast.
  • D. Saklatvala
    Saklatvala is an Indian-origin surname most notably associated with Shapurji Saklatvala, a pioneering communist and one of the first British MPs of Indian descent.
  • E. Arrambam
    Arrambam is a 2013 Tamil action thriller film starring Ajith Kumar, known for its stylish execution, political backdrop, and commercially successful run.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9e78008819088f0ffba78471509 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbe721b48190a4fd0c1d839c580e completed April 9, 2026, 7:20 p.m.
Created at: April 6, 2026, 12:08 p.m.