Triple

T19273908
Position Surface form Disambiguated ID Type / Status
Subject Guru Dutt E481996 entity
Predicate notableWork P4 FINISHED
Object Baazi
Baazi is a 1951 Hindi film noir crime thriller directed by Guru Dutt that marked his directorial debut and became a landmark in Indian cinema.
E1367604 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: Baazi | Statement: [Guru Dutt, notableWork, Baazi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baazi
Context triple: [Guru Dutt, notableWork, Baazi]
  • A. Rangbaaz
    Rangbaaz is a Bangladeshi film that helped establish actor Razzak as a major star in the country’s cinema.
  • B. Mando Khel
    Mando Khel is a Pashtun sub-clan belonging to the larger Tareen tribe, traditionally found in regions of Afghanistan and Pakistan.
  • C. Jaanbaaz
    Jaanbaaz is a 1986 Indian action-romance film directed by Feroz Khan, known for its stylish presentation, star-studded cast, and memorable music.
  • D. Bundal Baaz
    Bundal Baaz is a 1976 Hindi fantasy-comedy film starring Shammi Kapoor, known for its lighthearted blend of romance, magic, and humor.
  • E. Kabzaa
    Kabzaa is a 1992 Hindi-language action crime film known for its underworld-centric storyline and ensemble cast, including Paresh Rawal.
  • 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: Baazi
Triple: [Guru Dutt, notableWork, Baazi]
Generated description
Baazi is a 1951 Hindi film noir crime thriller directed by Guru Dutt that marked his directorial debut and became a landmark in Indian cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Baazi
Target entity description: Baazi is a 1951 Hindi film noir crime thriller directed by Guru Dutt that marked his directorial debut and became a landmark in Indian cinema.
  • A. Rangbaaz
    Rangbaaz is a Bangladeshi film that helped establish actor Razzak as a major star in the country’s cinema.
  • B. Mando Khel
    Mando Khel is a Pashtun sub-clan belonging to the larger Tareen tribe, traditionally found in regions of Afghanistan and Pakistan.
  • C. Jaanbaaz
    Jaanbaaz is a 1986 Indian action-romance film directed by Feroz Khan, known for its stylish presentation, star-studded cast, and memorable music.
  • D. Bundal Baaz
    Bundal Baaz is a 1976 Hindi fantasy-comedy film starring Shammi Kapoor, known for its lighthearted blend of romance, magic, and humor.
  • E. Kabzaa
    Kabzaa is a 1992 Hindi-language action crime film known for its underworld-centric storyline and ensemble cast, including Paresh Rawal.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbba7758819081c1c78667c59c5e completed April 20, 2026, 10:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a070e748ba48190bc2a17906f7ad842 completed May 15, 2026, 12:15 p.m.
NEDg Description generation batch_6a070ef513888190b8c9f8c2de36f234 completed May 15, 2026, 12:17 p.m.
NED2 Entity disambiguation (via description) batch_6a070fe766d081909453b1f8563817e8 completed May 15, 2026, 12:21 p.m.
Created at: April 10, 2026, 1:29 p.m.