Triple

T10670850
Position Surface form Disambiguated ID Type / Status
Subject Muthiah Annamalai Chidambaram E251479 entity
Predicate hasPartInName P5298 FINISHED
Object Annamalai E743501 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: Annamalai | Statement: [Muthiah Annamalai Chidambaram, hasPartInName, Annamalai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annamalai
Context triple: [Muthiah Annamalai Chidambaram, hasPartInName, Annamalai]
  • A. Annamalai chosen
    Annamalai is a popular 1992 Tamil-language action drama film starring Rajinikanth, known for its rags-to-riches storyline and iconic performances.
  • B. Nellai
    Nellai is a commonly used local name for the South Indian city of Tirunelveli in Tamil Nadu, known for its historic temples and cultural heritage.
  • C. Marudamalai
    Marudamalai is a hill region near Coimbatore in Tamil Nadu, India, renowned as a major pilgrimage site dedicated to the Hindu deity Murugan.
  • D. Swamimalai
    Swamimalai is a prominent Hindu pilgrimage town in Tamil Nadu, India, renowned for its ancient Murugan temple and sacred hill associated with the god Kartikeya.
  • E. Nannilam
    Nannilam is a small town in the Tiruvarur district of Tamil Nadu, India, known for its traditional Tamil culture and rural setting.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f86390648190851693aedce6b7ad completed April 9, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d98865f700819093c8cadc6fcef75f completed April 10, 2026, 11:31 p.m.
Created at: April 8, 2026, 9:09 p.m.