Triple

T10906813
Position Surface form Disambiguated ID Type / Status
Subject Tenet (film score) E257593 entity
Predicate hasTrack P3284 FINISHED
Object Priya
"Priya" is a musical track from Ludwig Göransson's score for the 2020 science-fiction thriller film "Tenet."
 E892503 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: Priya | Statement: [Tenet (film score), hasTrack, Priya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Priya
Context triple: [Tenet (film score), hasTrack, Priya]
  • A. Priti
    Priti is the given name of British politician Priti Patel, who served as the United Kingdom’s Home Secretary.
  • B. Sanjna
    Sanjna is a figure in Hindu mythology known as the wife of the sun god Surya and the daughter of the god of justice, often associated with themes of devotion and transformation.
  • C. Anjali
    Anjali is a critically acclaimed 1990 Indian Tamil-language drama film directed by Mani Ratnam, known for its sensitive portrayal of a child with a terminal illness and its emotional family narrative.
  • D. Anjali
    Anjali is an Indian pediatrician best known as the wife of legendary cricketer Sachin Tendulkar.
  • E. Pranhita
    Pranhita is a major river in central India that flows through the states of Maharashtra and Telangana before joining the Godavari River.
  • 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: Priya
Triple: [Tenet (film score), hasTrack, Priya]
Generated description
"Priya" is a musical track from Ludwig Göransson's score for the 2020 science-fiction thriller film "Tenet."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Priya
Target entity description: "Priya" is a musical track from Ludwig Göransson's score for the 2020 science-fiction thriller film "Tenet."
  • A. Priti
    Priti is the given name of British politician Priti Patel, who served as the United Kingdom’s Home Secretary.
  • B. Sanjna
    Sanjna is a figure in Hindu mythology known as the wife of the sun god Surya and the daughter of the god of justice, often associated with themes of devotion and transformation.
  • C. Anjali
    Anjali is an Indian pediatrician best known as the wife of legendary cricketer Sachin Tendulkar.
  • D. Anjali
    Anjali is a critically acclaimed 1990 Indian Tamil-language drama film directed by Mani Ratnam, known for its sensitive portrayal of a child with a terminal illness and its emotional family narrative.
  • E. Pranhita
    Pranhita is a major river in central India that flows through the states of Maharashtra and Telangana before joining the Godavari River.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7706679b48190a1f29fc64fe8a334 completed April 9, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69e155454890819087028a72ac2be8de completed April 16, 2026, 9:31 p.m.
NEDg Description generation batch_69e1801dc2e8819099bc862705871761 completed April 17, 2026, 12:34 a.m.
NED2 Entity disambiguation (via description) batch_69e1831802608190b5c3c5a4e8d8681a completed April 17, 2026, 12:47 a.m.
Created at: April 8, 2026, 9:22 p.m.