Triple

T8565218
Position Surface form Disambiguated ID Type / Status
Subject Vetrimaaran E202784 entity
Predicate filmDebutAsDirector P45223 FINISHED
Object Polladhavan E748117 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: Polladhavan | Statement: [Vetrimaaran, filmDebutAsDirector, Polladhavan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polladhavan
Context triple: [Vetrimaaran, filmDebutAsDirector, Polladhavan]
  • A. Polladhavan chosen
    Polladhavan is a 2007 Tamil action-drama film, starring Dhanush, that gained acclaim for its gritty storytelling and marked an early critical success for director Vetrimaaran.
  • B. Thuppakki
    Thuppakki is a 2012 Tamil action thriller film directed by AR Murugadoss, starring Vijay as an army officer who sets out to dismantle a terrorist sleeper cell in Mumbai.
  • C. Raavanan
    Raavanan is a 2010 Tamil-language psychological action thriller film directed by Mani Ratnam, in which Vikram plays a complex outlaw inspired by the epic character Ravana.
  • D. Anniyan
    Anniyan is a 2005 Indian Tamil-language psychological action thriller film directed by S. Shankar, known for its multiple personality protagonist and strong social message.
  • E. Dasavathaaram
    Dasavathaaram is a 2008 Indian Tamil science-fiction action film famed for Kamal Haasan’s portrayal of ten distinct roles and its complex, time-spanning narrative.
  • 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9d2331881909d92ddde90f580e9 completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc72d8c08190b5e063e6de2bbdd2 completed April 2, 2026, 8:07 p.m.
Created at: March 30, 2026, 6:20 p.m.