Triple

T26495055
Position Surface form Disambiguated ID Type / Status
Subject Hungry generation E669257 entity
Predicate alsoKnownAs P39 FINISHED
Object Hungryalist movement
The Hungryalist movement was a radical 1960s Bengali literary avant-garde that challenged social norms and traditional aesthetics through provocative, experimental writing.
 E61359 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: Hungryalist movement | Statement: [Hungry generation, alsoKnownAs, Hungryalist movement]
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: Hungryalist movement
Triple: [Hungry generation, alsoKnownAs, Hungryalist movement]
Generated description
The Hungryalist movement was a radical 1960s Bengali literary avant-garde that challenged social norms and traditional aesthetics through provocative, experimental writing.

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_69eeb319007081909642b414b114b35a completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f61355c8548190b0be40734a252bb7 completed May 2, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11bb2f3e808190bc0d6926c6b933e8 completed May 23, 2026, 2:35 p.m.
NEDg Description generation batch_6a11be60f78c819093363b32bd4e3447 completed May 23, 2026, 2:49 p.m.
NED2 Entity disambiguation (via description) batch_6a11bf9748e88190be2a61f717893a27 completed May 23, 2026, 2:54 p.m.
Created at: April 27, 2026, 1:07 a.m.