Triple

T7045296
Position Surface form Disambiguated ID Type / Status
Subject Trivikram Srinivas E163615 entity
Predicate wroteScreenplayFor P15305 FINISHED
Object Swayamvaram
Swayamvaram is a Telugu-language romantic drama film known for its witty dialogues and engaging narrative style.
E640519 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: Swayamvaram | Statement: [Trivikram Srinivas, wroteScreenplayFor, Swayamvaram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swayamvaram
Context triple: [Trivikram Srinivas, wroteScreenplayFor, Swayamvaram]
  • A. Mantralayam
    Mantralayam is a prominent pilgrimage village in Andhra Pradesh, India, best known for the samadhi (brindavana) of the Hindu saint Raghavendra Swami.
  • B. Srirangam
    Srirangam is a prominent temple town in Tamil Nadu, India, renowned for the vast Sri Ranganathaswamy Temple dedicated to Lord Vishnu.
  • C. Dvaraka
    Dvaraka is an ancient and sacred coastal city in western India, revered in Hindu tradition as the legendary kingdom of Lord Krishna.
  • D. Palamoor
    Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
  • E. Keelakarai
    Keelakarai is a coastal town in Tamil Nadu, India, known for its historic mosques, maritime trading heritage, and culturally rich Muslim community.
  • 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: Swayamvaram
Triple: [Trivikram Srinivas, wroteScreenplayFor, Swayamvaram]
Generated description
Swayamvaram is a Telugu-language romantic drama film known for its witty dialogues and engaging narrative style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Swayamvaram
Target entity description: Swayamvaram is a Telugu-language romantic drama film known for its witty dialogues and engaging narrative style.
  • A. Mantralayam
    Mantralayam is a prominent pilgrimage village in Andhra Pradesh, India, best known for the samadhi (brindavana) of the Hindu saint Raghavendra Swami.
  • B. Srirangam
    Srirangam is a prominent temple town in Tamil Nadu, India, renowned for the vast Sri Ranganathaswamy Temple dedicated to Lord Vishnu.
  • C. Dvaraka
    Dvaraka is an ancient and sacred coastal city in western India, revered in Hindu tradition as the legendary kingdom of Lord Krishna.
  • D. Palamoor
    Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
  • E. Keelakarai
    Keelakarai is a coastal town in Tamil Nadu, India, known for its historic mosques, maritime trading heritage, and culturally rich Muslim community.
  • 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_69c794429b648190b6399a2447db07d0 completed March 28, 2026, 8:41 a.m.
NEDg Description generation batch_69c796214a0c8190873f4a5284abcaba completed March 28, 2026, 8:49 a.m.
NED2 Entity disambiguation (via description) batch_69c79690e6a88190a410005ef02419eb completed March 28, 2026, 8:51 a.m.
Created at: March 27, 2026, 2:37 p.m.