Triple

T7660386
Position Surface form Disambiguated ID Type / Status
Subject Meghe Dhaka Tara E173488 entity
Predicate mainCharacter P1183 FINISHED
Object Neeta
Neeta is the tragic, self-sacrificing young woman at the center of Ritwik Ghatak’s classic Bengali film "Meghe Dhaka Tara."
 E679454 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: Neeta | Statement: [Meghe Dhaka Tara, mainCharacter, Neeta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Neeta
Context triple: [Meghe Dhaka Tara, mainCharacter, Neeta]
  • A. Neela
    Neela is a central street racer and love interest in the film "The Fast and the Furious: Tokyo Drift," known for her drifting skills in Tokyo's underground racing scene.
  • B. Neela
    Neela is a prominent commander in the monkey kingdom of Kishkindha in the Indian epic Ramayana, known for his leadership in Rama’s campaign against Ravana.
  • C. Meena
    Meena is a shy teenage elephant with a powerful singing voice in the animated film "Sing."
  • D. Sarita
    Sarita is a feminine given name used in various cultures, often considered a variant or diminutive of names like Sarah.
  • 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: Neeta
Triple: [Meghe Dhaka Tara, mainCharacter, Neeta]
Generated description
Neeta is the tragic, self-sacrificing young woman at the center of Ritwik Ghatak’s classic Bengali film "Meghe Dhaka Tara."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Neeta
Target entity description: Neeta is the tragic, self-sacrificing young woman at the center of Ritwik Ghatak’s classic Bengali film "Meghe Dhaka Tara."
  • A. Neela
    Neela is a central street racer and love interest in the film "The Fast and the Furious: Tokyo Drift," known for her drifting skills in Tokyo's underground racing scene.
  • B. Neela
    Neela is a prominent commander in the monkey kingdom of Kishkindha in the Indian epic Ramayana, known for his leadership in Rama’s campaign against Ravana.
  • C. Meena
    Meena is a shy teenage elephant with a powerful singing voice in the animated film "Sing."
  • D. Sarita
    Sarita is a feminine given name used in various cultures, often considered a variant or diminutive of names like Sarah.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701a47a5c8190867e39f552c86787 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b14b6848190892a262903d78b79 completed March 29, 2026, 3:23 a.m.
NEDg Description generation batch_69c89becbf148190b1f065f4016a6d03 completed March 29, 2026, 3:26 a.m.
NED2 Entity disambiguation (via description) batch_69c89cc3a3788190bd91aa0995b96c26 completed March 29, 2026, 3:30 a.m.
Created at: March 27, 2026, 3:59 p.m.