Triple

T11792413
Position Surface form Disambiguated ID Type / Status
Subject Pankaj Kapur E280419 entity
Predicate notableWork P4 FINISHED
Object Dus
"Dus" is a 2005 Indian action thriller film known for its ensemble cast, high-octane stunts, and a plot centered on an anti-terrorism mission.
 E946893 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: Dus | Statement: [Pankaj Kapur, notableWork, Dus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dus
Context triple: [Pankaj Kapur, notableWork, Dus]
  • A. DUS
    DUS is the three-letter IATA code for Düsseldorf Airport, a major international airport in western Germany.
  • B. Doud
    Doud is the maiden surname of Mamie Eisenhower, the First Lady of the United States during Dwight D. Eisenhower’s presidency.
  • C. Tus
    Tus is a supporting character in the video game "Prince of Persia: The Sands of Time," serving as one of the Prince’s royal relatives and a military leader.
  • D. Tus
    Tus is an ancient city in northeastern Iran, renowned as a cultural and literary center and traditionally regarded as the birthplace and home of the Persian epic poet Ferdowsi.
  • E. Du
    Du is a Chinese surname historically borne by notable figures such as the Tang dynasty poet Du Fu.
  • 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: Dus
Triple: [Pankaj Kapur, notableWork, Dus]
Generated description
"Dus" is a 2005 Indian action thriller film known for its ensemble cast, high-octane stunts, and a plot centered on an anti-terrorism mission.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dus
Target entity description: "Dus" is a 2005 Indian action thriller film known for its ensemble cast, high-octane stunts, and a plot centered on an anti-terrorism mission.
  • A. DUS
    DUS is the three-letter IATA code for Düsseldorf Airport, a major international airport in western Germany.
  • B. Doud
    Doud is the maiden surname of Mamie Eisenhower, the First Lady of the United States during Dwight D. Eisenhower’s presidency.
  • C. Tus
    Tus is a supporting character in the video game "Prince of Persia: The Sands of Time," serving as one of the Prince’s royal relatives and a military leader.
  • D. Tus
    Tus is an ancient city in northeastern Iran, renowned as a cultural and literary center and traditionally regarded as the birthplace and home of the Persian epic poet Ferdowsi.
  • E. Du
    Du is a Chinese surname historically borne by notable figures such as the Tang dynasty poet Du Fu.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a588d2c881909783c2d678c2a474 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09107fd2481908d765d2188035012 completed April 28, 2026, 10:50 a.m.
NEDg Description generation batch_69f0bd40108c8190863a60cf01cc7201 completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef7e9f388190b33f6c16abadfde9 completed April 28, 2026, 5:33 p.m.
Created at: April 8, 2026, 9:42 p.m.