Triple

T29615156
Position Surface form Disambiguated ID Type / Status
Subject Ek Duuje Ke Liye E754839 entity
Predicate femaleProtagonistName P167986 FINISHED
Object Sapna
Sapna is the central female protagonist in the Hindi romantic tragedy film "Ek Duuje Ke Liye."
 E1877259 NE FINISHED

How this triple was built (3 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: Sapna | Statement: [Ek Duuje Ke Liye, femaleProtagonistName, Sapna]
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: Sapna
Triple: [Ek Duuje Ke Liye, femaleProtagonistName, Sapna]
Generated description
Sapna is the central female protagonist in the Hindi romantic tragedy film "Ek Duuje Ke Liye."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: femaleProtagonistName
Context triple: [Ek Duuje Ke Liye, femaleProtagonistName, Sapna]
  • A. protagonistFullName
    Indicates that the subject entity is the full, proper name (including given and family names) of the story’s main protagonist.
  • B. femaleLeadCharacterStatus
    Indicates the narrative or role status assigned to a female lead character within a story or production.
  • C. femaleRole
    Indicates that the role, function, or position involved is associated with or designated as female.
  • D. hasFemaleCharacter
    Indicates that an entity includes or features at least one female character.
  • E. protagonistDefaultName
    Indicates that an entity is the default or canonical name assigned to the protagonist in a given work or context.
  • F. None of above. chosen

Provenance (7 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_69f0ef85f62081909842b59fdf8717e1 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69f66e5f7e30819094530abceabd5f43 completed May 2, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26616893888190aa2502e490a4a4e4 completed June 8, 2026, 6:30 a.m.
NEDg Description generation batch_6a2665a18cdc819085edf38c5b97f863 completed June 8, 2026, 6:48 a.m.
NED2 Entity disambiguation (via description) batch_6a266b5c5f308190a49fa8399a76ad96 completed June 8, 2026, 7:12 a.m.
PD Predicate disambiguation batch_69f66abfdaf08190a55f14c70be6fd4d completed May 2, 2026, 9:21 p.m.
PDg Predicate description generation batch_69f66d75a8788190aa9ca2c977429045 completed May 2, 2026, 9:32 p.m.
Created at: April 28, 2026, 6:31 p.m.