Triple

T8558519
Position Surface form Disambiguated ID Type / Status
Subject AVM Productions E202634 entity
Predicate hasNotableWork P4 FINISHED
Object Annai
Annai is a Tamil-language Indian film recognized as one of the notable productions of the Chennai-based studio AVM Productions.
E743841 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: Annai | Statement: [AVM Productions, hasNotableWork, Annai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annai
Context triple: [AVM Productions, hasNotableWork, Annai]
  • A. Alamelu
    Alamelu is a South Indian feminine given name, commonly used in Tamil and Telugu communities and often associated with Hindu cultural and religious traditions.
  • B. Amma
    Amma is a fictional female protagonist, likely a central figure in a narrative focused on a girl or woman’s experiences.
  • C. Nenê
    Nenê is a Brazilian professional basketball player and longtime NBA center known for his physical interior play and key contributions to both the Denver Nuggets and Washington Wizards.
  • D. Anu
    Anu is the ancient Mesopotamian sky god and supreme ruler of the pantheon, associated with authority, kingship, and the heavens.
  • E. Anu
    Anu is the young protagonist of the acclaimed Bangladeshi film "Matir Moina" ("The Clay Bird"), whose coming-of-age story unfolds against the backdrop of political and religious turmoil in 1960s East Pakistan.
  • 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: Annai
Triple: [AVM Productions, hasNotableWork, Annai]
Generated description
Annai is a Tamil-language Indian film recognized as one of the notable productions of the Chennai-based studio AVM Productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Annai
Target entity description: Annai is a Tamil-language Indian film recognized as one of the notable productions of the Chennai-based studio AVM Productions.
  • A. Alamelu
    Alamelu is a South Indian feminine given name, commonly used in Tamil and Telugu communities and often associated with Hindu cultural and religious traditions.
  • B. Amma
    Amma is a fictional female protagonist, likely a central figure in a narrative focused on a girl or woman’s experiences.
  • C. Nenê
    Nenê is a Brazilian professional basketball player and longtime NBA center known for his physical interior play and key contributions to both the Denver Nuggets and Washington Wizards.
  • D. Anu
    Anu is the ancient Mesopotamian sky god and supreme ruler of the pantheon, associated with authority, kingship, and the heavens.
  • E. Anu
    Anu is the young protagonist of the acclaimed Bangladeshi film "Matir Moina" ("The Clay Bird"), whose coming-of-age story unfolds against the backdrop of political and religious turmoil in 1960s East Pakistan.
  • 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_69cbe9485dd88190bc2cf2adf39d48ee completed March 31, 2026, 3:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce89455dcc819088bdf5a2f653da17 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.