Triple

T21330852
Position Surface form Disambiguated ID Type / Status
Subject Mohan Agashe E525893 entity
Predicate notableWork P4 FINISHED
Object Rihaee
Rihaee is a 1988 Indian Hindi-language drama film that explores the lives and struggles of women in a rural village when the men migrate to the city for work.
 E1478406 NE FINISHED

How this triple was built (4 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: Rihaee | Statement: [Mohan Agashe, notableWork, Rihaee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rihaee
Context triple: [Mohan Agashe, notableWork, Rihaee]
  • A. Razihi
    Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
  • B. Ruha
    Ruha is the historical name of the ancient city now known as Şanlıurfa in southeastern Turkey, a long-inhabited center of Mesopotamian and early Christian civilization.
  • C. Rahy
    Rahy was a prominent Thoroughbred racehorse and influential sire known for producing numerous successful runners on both turf and dirt.
  • D. Ruhaya
    Ruhaya is a Bantu language spoken primarily by the Haya people of northwestern Tanzania.
  • E. Raisuli
    Raisuli is a charismatic Berber chieftain and anti-hero in the adventure film "The Wind and the Lion," loosely based on the historical Moroccan brigand Mulai Ahmed er Raisuni.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Rihaee
Triple: [Mohan Agashe, notableWork, Rihaee]
Generated description
Rihaee is a 1988 Indian Hindi-language drama film that explores the lives and struggles of women in a rural village when the men migrate to the city for work.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rihaee
Target entity description: Rihaee is a 1988 Indian Hindi-language drama film that explores the lives and struggles of women in a rural village when the men migrate to the city for work.
  • A. Razihi
    Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
  • B. Ruha
    Ruha is the historical name of the ancient city now known as Şanlıurfa in southeastern Turkey, a long-inhabited center of Mesopotamian and early Christian civilization.
  • C. Rahy
    Rahy was a prominent Thoroughbred racehorse and influential sire known for producing numerous successful runners on both turf and dirt.
  • D. Ruhaya
    Ruhaya is a Bantu language spoken primarily by the Haya people of northwestern Tanzania.
  • E. Raisuli
    Raisuli is a charismatic Berber chieftain and anti-hero in the adventure film "The Wind and the Lion," loosely based on the historical Moroccan brigand Mulai Ahmed er Raisuni.
  • F. None of above. chosen

Provenance (5 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab5177dc8190b888351e9a45b45f completed April 21, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09a5be9c288190b44f760ad94d9fed completed May 17, 2026, 11:25 a.m.
NEDg Description generation batch_6a09a6922e1c8190a2210b22ed1f31ef completed May 17, 2026, 11:29 a.m.
NED2 Entity disambiguation (via description) batch_6a09a6f4db008190b11b10c45ab20ed5 completed May 17, 2026, 11:31 a.m.
Created at: April 16, 2026, 4:42 p.m.