Triple

T29212412
Position Surface form Disambiguated ID Type / Status
Subject Malaysian cinema E740578 entity
Predicate festival P3113 FINISHED
Object Kuala Lumpur International Film Festival
Kuala Lumpur International Film Festival is a major Malaysian film event that showcases local and international cinema while promoting the country’s film industry and cultural diversity.
E1858967 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: Kuala Lumpur International Film Festival | Statement: [Malaysian cinema, festival, Kuala Lumpur International Film Festival]
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: Kuala Lumpur International Film Festival
Triple: [Malaysian cinema, festival, Kuala Lumpur International Film Festival]
Generated description
Kuala Lumpur International Film Festival is a major Malaysian film event that showcases local and international cinema while promoting the country’s film industry and cultural diversity.

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_69f07cba2f808190a2746477d4e8345b completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f664064ef8819095123717e4589873 completed May 2, 2026, 8:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25a847fc208190b1ed19a536b1663c completed June 7, 2026, 5:20 p.m.
NEDg Description generation batch_6a25ac6034a081909518662153fbe1b3 completed June 7, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_6a25b13b60088190bfe08fd65547a593 completed June 7, 2026, 5:58 p.m.
Created at: April 28, 2026, 12:12 p.m.