Triple

T6969646
Position Surface form Disambiguated ID Type / Status
Subject SIIMA Awards E161569 entity
Predicate shortName P43 FINISHED
Object SIIMA
SIIMA is a major annual awards ceremony that honors excellence in South Indian cinema across multiple regional film industries.
 E633166 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: SIIMA | Statement: [SIIMA Awards, shortName, SIIMA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SIIMA
Context triple: [SIIMA Awards, shortName, SIIMA]
  • A. SI
    SI is the globally accepted metric-based system of measurement used in science, industry, and everyday life.
  • B. SI
    SI is the abbreviation for Skeptical Inquirer, a magazine devoted to scientific skepticism, critical thinking, and the investigation of extraordinary claims.
  • C. SII
    SII (singly ionized sulfur) is an emission line commonly used in astrophotography and spectroscopy to highlight ionized gas regions in nebulae and other astronomical objects.
  • D. SII
    SII is the abbreviated name for the Military and Information Security Service, a national agency responsible for safeguarding defense-related and sensitive information.
  • E. SII
    SII is Chile’s national tax authority responsible for administering and overseeing the country’s tax system and compliance.
  • 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: SIIMA
Triple: [SIIMA Awards, shortName, SIIMA]
Generated description
SIIMA is a major annual awards ceremony that honors excellence in South Indian cinema across multiple regional film industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SIIMA
Target entity description: SIIMA is a major annual awards ceremony that honors excellence in South Indian cinema across multiple regional film industries.
  • A. SI
    SI is the globally accepted metric-based system of measurement used in science, industry, and everyday life.
  • B. SI
    SI is the abbreviation for Skeptical Inquirer, a magazine devoted to scientific skepticism, critical thinking, and the investigation of extraordinary claims.
  • C. SII
    SII (singly ionized sulfur) is an emission line commonly used in astrophotography and spectroscopy to highlight ionized gas regions in nebulae and other astronomical objects.
  • D. SII
    SII is the abbreviated name for the Military and Information Security Service, a national agency responsible for safeguarding defense-related and sensitive information.
  • E. SII
    SII is Chile’s national tax authority responsible for administering and overseeing the country’s tax system and compliance.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db1649288190a52c7dab57b3c7dc completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7619ebab88190916e3d68068ed71d completed March 28, 2026, 5:05 a.m.
NEDg Description generation batch_69c7630440508190a66f218fd912d732 completed March 28, 2026, 5:11 a.m.
NED2 Entity disambiguation (via description) batch_69c7639747b88190b3429817d53c5703 completed March 28, 2026, 5:13 a.m.
Created at: March 27, 2026, 2:30 p.m.