Triple

T5462405
Position Surface form Disambiguated ID Type / Status
Subject Indian parallel cinema E122622 entity
Predicate notableDirector P4744 FINISHED
Object Nihalani
Nihalani is an Indian film director recognized for his influential contributions to the country's parallel cinema movement.
 E520167 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: Nihalani | Statement: [Indian parallel cinema, notableDirector, Nihalani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nihalani
Context triple: [Indian parallel cinema, notableDirector, Nihalani]
  • A. Kumudavathi
    Kumudavathi is a river in the Indian state of Karnataka that serves as a tributary of the Arkavathi River.
  • B. Nabaneeta
    Nabaneeta is a feminine given name most notably borne by the acclaimed Indian Bengali writer and academic Nabaneeta Dev Sen.
  • C. Nandana
    Nandana is a person known primarily as the sibling of Nanda, a figure mentioned in historical and/or cultural contexts.
  • D. Devika
    Devika is a lesser-known queen in the Mahabharata, married to Yudhishthira and noted primarily as the mother of his son Yaudheya.
  • E. Madhavi
    Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
  • 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: Nihalani
Triple: [Indian parallel cinema, notableDirector, Nihalani]
Generated description
Nihalani is an Indian film director recognized for his influential contributions to the country's parallel cinema movement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nihalani
Target entity description: Nihalani is an Indian film director recognized for his influential contributions to the country's parallel cinema movement.
  • A. Kumudavathi
    Kumudavathi is a river in the Indian state of Karnataka that serves as a tributary of the Arkavathi River.
  • B. Nabaneeta
    Nabaneeta is a feminine given name most notably borne by the acclaimed Indian Bengali writer and academic Nabaneeta Dev Sen.
  • C. Nandana
    Nandana is a person known primarily as the sibling of Nanda, a figure mentioned in historical and/or cultural contexts.
  • D. Devika
    Devika is a lesser-known queen in the Mahabharata, married to Yudhishthira and noted primarily as the mother of his son Yaudheya.
  • E. Madhavi
    Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
  • 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_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd92033dd08190a90bcae6b9f149d3 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf414ebd288190ae90593232ff2db9 completed March 22, 2026, 1:09 a.m.
NEDg Description generation batch_69bf41dd96448190973b7241df5dbb24 completed March 22, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69bf42badcf08190b451b148d08e996e completed March 22, 2026, 1:15 a.m.
Created at: March 20, 2026, 2:08 p.m.