Triple

T21944617
Position Surface form Disambiguated ID Type / Status
Subject Asian Film Award E541903 entity
Predicate presentedBy P83 FINISHED
Object AFAA
AFAA is the organization responsible for organizing and presenting the Asian Film Awards, which honor excellence in Asian cinema.
 E1509442 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: AFAA | Statement: [Asian Film Award, presentedBy, AFAA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AFAA
Context triple: [Asian Film Award, presentedBy, AFAA]
  • A. AFA
    AFA is an abbreviation commonly used for the ARY Film Awards, a Pakistani awards ceremony honoring achievements in the film industry.
  • B. AFA
    AFA is the Argentine Football Association, the main governing body responsible for organizing and regulating football in Argentina, including its national teams and professional leagues.
  • C. AFA
    AFA is the IATA airport code for San Rafael's main airport in Mendoza Province, Argentina.
  • D. AFA
    AFA is the commonly used abbreviation for Academia da Força Aérea, the Brazilian Air Force Academy responsible for training future Air Force officers.
  • E. AAFAF
    AAFAF is Puerto Rico’s central government agency responsible for managing fiscal policy, public debt, and financial advisory functions for the Commonwealth.
  • 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: AFAA
Triple: [Asian Film Award, presentedBy, AFAA]
Generated description
AFAA is the organization responsible for organizing and presenting the Asian Film Awards, which honor excellence in Asian cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AFAA
Target entity description: AFAA is the organization responsible for organizing and presenting the Asian Film Awards, which honor excellence in Asian cinema.
  • A. AFA
    AFA is the commonly used abbreviation for Academia da Força Aérea, the Brazilian Air Force Academy responsible for training future Air Force officers.
  • B. AFA
    AFA is an abbreviation commonly used for the ARY Film Awards, a Pakistani awards ceremony honoring achievements in the film industry.
  • C. AFA
    AFA is the IATA airport code for San Rafael's main airport in Mendoza Province, Argentina.
  • D. AFA
    AFA is the Argentine Football Association, the main governing body responsible for organizing and regulating football in Argentina, including its national teams and professional leagues.
  • E. AAFAF
    AAFAF is Puerto Rico’s central government agency responsible for managing fiscal policy, public debt, and financial advisory functions for the Commonwealth.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1242688988190a7b8f033c49368de completed April 28, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a60f1f49c81909f6c17dad3bd0219 completed May 18, 2026, 12:44 a.m.
NEDg Description generation batch_6a0a6200fb1c81909a4ab05fd368dafc completed May 18, 2026, 12:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0a626731d8819097b209ae1375ae25 completed May 18, 2026, 12:50 a.m.
Created at: April 16, 2026, 7:56 p.m.