Triple

T8558609
Position Surface form Disambiguated ID Type / Status
Subject Sun Pictures E202635 entity
Predicate hasDistributedFilm P39384 FINISHED
Object Ayan
Ayan is a 2009 Tamil-language action thriller film starring Suriya, known for its smuggling-centric plot and commercial success.
E743885 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: Ayan | Statement: [Sun Pictures, hasDistributedFilm, Ayan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ayan
Context triple: [Sun Pictures, hasDistributedFilm, Ayan]
  • A. Ayizan
    Ayizan is a prominent Haitian Vodou spirit revered as the patron of marketplaces, initiation rites, and sacred knowledge, especially associated with commerce and spiritual purity.
  • B. Aiani
    Aiani is a town in northern Greece known for its archaeological significance and ancient Macedonian heritage.
  • C. Aya
    Aya is a Mesopotamian goddess primarily known as the consort of the sun god Shamash and associated with dawn and light.
  • D. Anawan
    Anawan was a Wampanoag war leader who became prominent during King Philip’s War as a key Native American commander against English colonial forces.
  • E. Katayun
    Katayun is a figure in Persian mythology known primarily as the mother of the legendary hero Esfandiyar in the Shahnameh.
  • 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: Ayan
Triple: [Sun Pictures, hasDistributedFilm, Ayan]
Generated description
Ayan is a 2009 Tamil-language action thriller film starring Suriya, known for its smuggling-centric plot and commercial success.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ayan
Target entity description: Ayan is a 2009 Tamil-language action thriller film starring Suriya, known for its smuggling-centric plot and commercial success.
  • A. Ayizan
    Ayizan is a prominent Haitian Vodou spirit revered as the patron of marketplaces, initiation rites, and sacred knowledge, especially associated with commerce and spiritual purity.
  • B. Aiani
    Aiani is a town in northern Greece known for its archaeological significance and ancient Macedonian heritage.
  • C. Aya
    Aya is a Mesopotamian goddess primarily known as the consort of the sun god Shamash and associated with dawn and light.
  • D. Anawan
    Anawan was a Wampanoag war leader who became prominent during King Philip’s War as a key Native American commander against English colonial forces.
  • E. Katayun
    Katayun is a figure in Persian mythology known primarily as the mother of the legendary hero Esfandiyar in the Shahnameh.
  • 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_69ca8326e6c881908ff720d6abaebdc5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4578d9c8819096b3853d01c3ec11 completed March 31, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce894d82588190b558d5b2dc65eafe completed April 2, 2026, 3:20 p.m.
NEDg Description generation batch_69ce8a9ce1a08190a579f7f7a0319d01 completed April 2, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69ce8bdf1f148190ac832424661bd8e5 completed April 2, 2026, 3:31 p.m.
Created at: March 30, 2026, 6:20 p.m.