Triple

T6968630
Position Surface form Disambiguated ID Type / Status
Subject Yakshagana E161548 entity
Predicate musicalEnsemble P49020 FINISHED
Object Himmela
Himmela is the traditional backstage musical ensemble in Yakshagana theatre, providing the rhythmic and melodic foundation for the performance.
 E632202 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: Himmela | Statement: [Yakshagana, musicalEnsemble, Himmela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Himmela
Context triple: [Yakshagana, musicalEnsemble, Himmela]
  • A. Heidiland
    Heidiland is a popular Swiss tourist region in Eastern Switzerland, known for its alpine landscapes and associations with Johanna Spyri’s "Heidi" stories.
  • B. Helkant
    Helkant is a small village in the Dutch municipality of Drimmelen in the province of North Brabant.
  • C. Huraymila
    Huraymila is a small town in central Saudi Arabia known for its traditional character and location within the greater Riyadh region.
  • D. Harauti
    Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
  • E. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • 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: Himmela
Triple: [Yakshagana, musicalEnsemble, Himmela]
Generated description
Himmela is the traditional backstage musical ensemble in Yakshagana theatre, providing the rhythmic and melodic foundation for the performance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Himmela
Target entity description: Himmela is the traditional backstage musical ensemble in Yakshagana theatre, providing the rhythmic and melodic foundation for the performance.
  • A. Heidiland
    Heidiland is a popular Swiss tourist region in Eastern Switzerland, known for its alpine landscapes and associations with Johanna Spyri’s "Heidi" stories.
  • B. Helkant
    Helkant is a small village in the Dutch municipality of Drimmelen in the province of North Brabant.
  • C. Huraymila
    Huraymila is a small town in central Saudi Arabia known for its traditional character and location within the greater Riyadh region.
  • D. Harauti
    Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
  • E. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db152b2081909271493a5d1469fb completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7619ada248190941ddf3b13cf3a74 completed March 28, 2026, 5:05 a.m.
NEDg Description generation batch_69c76251647c8190b0c30d4aa8301f8c completed March 28, 2026, 5:08 a.m.
NED2 Entity disambiguation (via description) batch_69c762d1be208190ae5831c2a5e5655c completed March 28, 2026, 5:10 a.m.
Created at: March 27, 2026, 2:30 p.m.