Triple

T27165871
Position Surface form Disambiguated ID Type / Status
Subject Kabhi Khushi Kabhie Gham... E682779 entity
Predicate character P662 FINISHED
Object Rahul Raichand
Rahul Raichand is the dutiful yet conflicted elder son of a wealthy Indian family in the film "Kabhi Khushi Kabhie Gham...", whose love marriage against his father's wishes drives the story's emotional and familial drama.
E1779506 NE FINISHED

How this triple was built (2 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: Rahul Raichand | Statement: [Kabhi Khushi Kabhie Gham..., character, Rahul Raichand]
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: Rahul Raichand
Triple: [Kabhi Khushi Kabhie Gham..., character, Rahul Raichand]
Generated description
Rahul Raichand is the dutiful yet conflicted elder son of a wealthy Indian family in the film "Kabhi Khushi Kabhie Gham...", whose love marriage against his father's wishes drives the story's emotional and familial drama.

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_69eefacf6e788190a75a64399d9e3109 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f6254313508190a1946b5c58f6dd3b completed May 2, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12d0b37df88190b3d4603bfccb5c00 completed May 24, 2026, 10:19 a.m.
NEDg Description generation batch_6a12d169e8888190bf3c8e7f0718a3a5 completed May 24, 2026, 10:22 a.m.
NED2 Entity disambiguation (via description) batch_6a12d270e0dc81909c04761a32c1e652 completed May 24, 2026, 10:26 a.m.
Created at: April 27, 2026, 9:21 a.m.