Triple

T7045292
Position Surface form Disambiguated ID Type / Status
Subject Trivikram Srinivas E163615 entity
Predicate directed P7373 FINISHED
Object A Aa
A Aa is a 2016 Telugu romantic comedy-drama film written and directed by Trivikram Srinivas, known for its lighthearted narrative, strong characterizations, and family-centric storytelling.
 E638842 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: A Aa | Statement: [Trivikram Srinivas, directed, A Aa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A Aa
Context triple: [Trivikram Srinivas, directed, A Aa]
  • A. Aa
    The Aa is a small river in the Dutch province of North Brabant that flows through agricultural and rural landscapes before joining larger waterways.
  • B. AA
    AA was the common abbreviation for the German Foreign Office (Auswärtiges Amt) during the Nazi era.
  • C. AA
    AA is a historic minor league professional baseball organization in the United States that has served as a key developmental league for Major League Baseball.
  • D. AA
    AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
  • E. AA
    AA is a common cylindrical battery size widely used in household electronic devices such as remote controls, toys, and flashlights.
  • 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: A Aa
Triple: [Trivikram Srinivas, directed, A Aa]
Generated description
A Aa is a 2016 Telugu romantic comedy-drama film written and directed by Trivikram Srinivas, known for its lighthearted narrative, strong characterizations, and family-centric storytelling.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A Aa
Target entity description: A Aa is a 2016 Telugu romantic comedy-drama film written and directed by Trivikram Srinivas, known for its lighthearted narrative, strong characterizations, and family-centric storytelling.
  • A. Aa
    The Aa is a small river in the Dutch province of North Brabant that flows through agricultural and rural landscapes before joining larger waterways.
  • B. AA
    AA is the common abbreviation for Arthur Andersen, the former Big Five accounting firm that collapsed following its involvement in the Enron scandal.
  • C. AA
    AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
  • D. AA
    AA was the common abbreviation for the German Foreign Office (Auswärtiges Amt) during the Nazi era.
  • E. AA
    AA is a common cylindrical battery size widely used in household electronic devices such as remote controls, toys, and flashlights.
  • 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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e238c7a4819095f5ff7283d48da8 completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7887799f48190b4fa311defd8e9fd completed March 28, 2026, 7:51 a.m.
NEDg Description generation batch_69c7893f85588190b1ed983f00ea2532 completed March 28, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_69c78b0fe83481909cad77ce740b81d5 completed March 28, 2026, 8:02 a.m.
Created at: March 27, 2026, 2:37 p.m.