Triple

T5857262
Position Surface form Disambiguated ID Type / Status
Subject Marathi theatre E130184 entity
Predicate notablePlay P9490 FINISHED
Object Vastraharan
Vastraharan is a renowned Marathi stage play, celebrated as a classic work in Marathi theatre.
 E551038 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: Vastraharan | Statement: [Marathi theatre, notablePlay, Vastraharan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vastraharan
Context triple: [Marathi theatre, notablePlay, Vastraharan]
  • A. Vallader
    Vallader is a major dialect of the Romansh language spoken primarily in Switzerland’s Lower Engadine region and used in local literature and education.
  • B. Torvastad
    Torvastad is a coastal village in Karmøy municipality in Rogaland county, southwestern Norway.
  • C. Vallentuna
    Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
  • D. Vánagandr
    Vánagandr is an alternate name for Fenrir, the monstrous wolf of Norse mythology prophesied to kill Odin during Ragnarök.
  • E. Storvreten
    Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
  • 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: Vastraharan
Triple: [Marathi theatre, notablePlay, Vastraharan]
Generated description
Vastraharan is a renowned Marathi stage play, celebrated as a classic work in Marathi theatre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vastraharan
Target entity description: Vastraharan is a renowned Marathi stage play, celebrated as a classic work in Marathi theatre.
  • A. Vallader
    Vallader is a major dialect of the Romansh language spoken primarily in Switzerland’s Lower Engadine region and used in local literature and education.
  • B. Torvastad
    Torvastad is a coastal village in Karmøy municipality in Rogaland county, southwestern Norway.
  • C. Vallentuna
    Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
  • D. Vánagandr
    Vánagandr is an alternate name for Fenrir, the monstrous wolf of Norse mythology prophesied to kill Odin during Ragnarök.
  • E. Storvreten
    Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
  • 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.