Triple

T26587267
Position Surface form Disambiguated ID Type / Status
Subject Bhupen Hazarika E667241 entity
Predicate directedFilm P13455 FINISHED
Object Era Bator Sur
Era Bator Sur is a 1956 Assamese-language social drama film, notable as one of the earliest and most influential works of filmmaker and musician Bhupen Hazarika.
E1732330 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: Era Bator Sur | Statement: [Bhupen Hazarika, directedFilm, Era Bator Sur]
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: Era Bator Sur
Triple: [Bhupen Hazarika, directedFilm, Era Bator Sur]
Generated description
Era Bator Sur is a 1956 Assamese-language social drama film, notable as one of the earliest and most influential works of filmmaker and musician Bhupen Hazarika.

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_69ee9cfb7e548190b60a9031182f5a7e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f615229fb481909b7fe7d9d17b8604 completed May 2, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11c83713648190958104c9f812f6ab completed May 23, 2026, 3:31 p.m.
NEDg Description generation batch_6a11ca4e5a58819081ded261719245c6 completed May 23, 2026, 3:39 p.m.
NED2 Entity disambiguation (via description) batch_6a11cac2048c81908007d7be9e205599 completed May 23, 2026, 3:41 p.m.
Created at: April 27, 2026, 2:06 a.m.