Triple

T6969326
Position Surface form Disambiguated ID Type / Status
Subject Geetha Arts E161562 entity
Predicate notableWork P4 FINISHED
Object Race Gurram E604198 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: Race Gurram | Statement: [Geetha Arts, notableWork, Race Gurram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Race Gurram
Context triple: [Geetha Arts, notableWork, Race Gurram]
  • A. Race Gurram chosen
    Race Gurram is a 2014 Telugu-language action-comedy film starring Allu Arjun that became a major commercial success and is widely regarded as one of his breakthrough mass entertainers.
  • B. Badal
    Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
  • C. Veer
    Veer is an honorific title in India signifying bravery and valor, often bestowed on distinguished warriors or freedom fighters such as Kunwar Singh.
  • D. Trivikrama
    Trivikrama is a form of the Hindu god Vishnu celebrated for his three great strides that reclaimed the universe from the demon king Bali.
  • E. Soggadu
    Soggadu is a popular 1975 Telugu romantic drama film produced by D. Ramanaidu, regarded as one of the classics of Telugu cinema.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db152b2081909271493a5d1469fb completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7619ada248190941ddf3b13cf3a74 completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:30 p.m.