Triple

T29299315
Position Surface form Disambiguated ID Type / Status
Subject Singam E742916 entity
Predicate teluguDubTitle P130985 FINISHED
Object Yamudu
Yamudu is the Telugu-dubbed version of the Tamil action film "Singam," starring Suriya as a fearless and upright police officer.
E1858519 NE FINISHED

How this triple was built (3 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: Yamudu | Statement: [Singam, teluguDubTitle, Yamudu]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yamudu
Triple: [Singam, teluguDubTitle, Yamudu]
Generated description
Yamudu is the Telugu-dubbed version of the Tamil action film "Singam," starring Suriya as a fearless and upright police officer.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: teluguDubTitle
Context triple: [Singam, teluguDubTitle, Yamudu]
  • A. teluguRemakeTitle
    Indicates that the subject work is a Telugu-language remake and the object is the title of that Telugu remake.
  • B. HindiTitle
    Indicates that one entity serves as the Hindi-language title or name for another entity.
  • C. TamilRemakeTitle
    Indicates that one work is a Tamil-language remake of another work, specifying the title used for the Tamil remake.
  • D. dubbedFor chosen
    Indicates that one media work has been voice-dubbed to create a version suitable for another language, region, or audience.
  • E. titleInKannadaScript
    Indicates that the title of an entity is written or represented in the Kannada script.
  • F. None of above.

Provenance (6 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_69f09123ed9881909f351f7541933f5e completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f665a1a7148190ae6060514d16ffec completed May 2, 2026, 8:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25894ebee081908a01ba3e1455baee completed June 7, 2026, 3:07 p.m.
NEDg Description generation batch_6a258d278f888190a2f409e4a14451b2 completed June 7, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_6a259116749c8190a2890948fa6af3f5 completed June 7, 2026, 3:41 p.m.
PD Predicate disambiguation batch_69f663362c008190a22afed262f1e426 completed May 2, 2026, 8:48 p.m.
Created at: April 28, 2026, 1:09 p.m.