Triple

T8940794
Position Surface form Disambiguated ID Type / Status
Subject Paruthiveeran E212893 entity
Predicate mainCharacter P1183 FINISHED
Object Paruthiveeran E212893 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: Paruthiveeran | Statement: [Paruthiveeran, mainCharacter, Paruthiveeran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paruthiveeran
Context triple: [Paruthiveeran, mainCharacter, Paruthiveeran]
  • A. Paruthiveeran chosen
    Paruthiveeran is a critically acclaimed 2007 Tamil rural drama film directed by Ameer and starring Karthi, noted for its realistic portrayal of village life and powerful performances.
  • B. Sivakarthikeyan
    Sivakarthikeyan is a popular Indian actor, producer, and playback singer known for his comedic and family-oriented roles primarily in Tamil cinema.
  • C. Vijay Sethupathi
    Vijay Sethupathi is a critically acclaimed Indian actor, primarily known for his versatile performances in Tamil cinema across a wide range of complex and unconventional roles.
  • D. Selvaraghavan
    Selvaraghavan is a prominent Indian film director and screenwriter in Tamil cinema, known for his intense, character-driven storytelling.
  • E. Karthi
    Karthi is a popular Indian Tamil film actor known for his versatile performances in commercial and critically acclaimed movies.
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b8b37c8190bce6e049de8cf732 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffd8495488190a1d93f9e5b7e334d completed April 3, 2026, 5:48 p.m.
Created at: March 30, 2026, 6:58 p.m.