Triple

T5857183
Position Surface form Disambiguated ID Type / Status
Subject Marathi cinema E130183 entity
Predicate notableFilm P22 FINISHED
Object Pinjra
Pinjra is a landmark 1972 Marathi-language film directed by V. Shantaram, renowned for its powerful social themes and memorable music.
 E551022 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: Pinjra | Statement: [Marathi cinema, notableFilm, Pinjra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pinjra
Context triple: [Marathi cinema, notableFilm, Pinjra]
  • A. Jajaghu
    Jajaghu is an alternative name for the Jago Temple, an ancient religious structure in Indonesia known for its historical and architectural significance.
  • B. Thali
    Thali is a dialect of the Lahnda (Western Punjabi) language spoken primarily in parts of Pakistan’s Punjab region.
  • C. Muthaiga
    Muthaiga is an affluent residential suburb of Nairobi, Kenya, known for its upscale homes, diplomatic residences, and exclusive social clubs.
  • D. Chholiya
    Chholiya is a traditional folk dance of the Kumaon region of Uttarakhand, India, often performed at weddings and festivals and characterized by its sword-and-shield martial style.
  • E. Jhakri
    Jhakri is a small town in Himachal Pradesh, India, known primarily for its proximity to the Nathpa Jhakri hydroelectric dam on the Sutlej 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: Pinjra
Triple: [Marathi cinema, notableFilm, Pinjra]
Generated description
Pinjra is a landmark 1972 Marathi-language film directed by V. Shantaram, renowned for its powerful social themes and memorable music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pinjra
Target entity description: Pinjra is a landmark 1972 Marathi-language film directed by V. Shantaram, renowned for its powerful social themes and memorable music.
  • A. Jajaghu
    Jajaghu is an alternative name for the Jago Temple, an ancient religious structure in Indonesia known for its historical and architectural significance.
  • B. Thali
    Thali is a dialect of the Lahnda (Western Punjabi) language spoken primarily in parts of Pakistan’s Punjab region.
  • C. Muthaiga
    Muthaiga is an affluent residential suburb of Nairobi, Kenya, known for its upscale homes, diplomatic residences, and exclusive social clubs.
  • D. Chholiya
    Chholiya is a traditional folk dance of the Kumaon region of Uttarakhand, India, often performed at weddings and festivals and characterized by its sword-and-shield martial style.
  • E. Jhakri
    Jhakri is a small town in Himachal Pradesh, India, known primarily for its proximity to the Nathpa Jhakri hydroelectric dam on the Sutlej 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_69c0084f3bb08190a7720f55f7aa4252 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0355755508190ab349cdcf0c8a58d completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1c00a8881908570f7127418e7ff completed March 23, 2026, 2:13 a.m.
NEDg Description generation batch_69c0a346bea08190880f30866429791d completed March 23, 2026, 2:19 a.m.
NED2 Entity disambiguation (via description) batch_69c0a3d162908190b0249f0ce620eda0 completed March 23, 2026, 2:22 a.m.
Created at: March 22, 2026, 3:56 p.m.