Triple

T35905954
Position Surface form Disambiguated ID Type / Status
Subject Jose Maria Canlas Sison E1038471 entity
Predicate notableWork P4 FINISHED
Object Prison and Beyond
Prison and Beyond is a collection of poems written by Filipino revolutionary leader Jose Maria Sison during his imprisonment, reflecting his political struggle and ideological convictions.
E2160814 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: Prison and Beyond | Statement: [Jose Maria Canlas Sison, notableWork, Prison and Beyond]
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: Prison and Beyond
Triple: [Jose Maria Canlas Sison, notableWork, Prison and Beyond]
Generated description
Prison and Beyond is a collection of poems written by Filipino revolutionary leader Jose Maria Sison during his imprisonment, reflecting his political struggle and ideological convictions.

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_69f76e2259608190bf6788a132e0d139 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aa6f167481908a174f615299e151 completed May 3, 2026, 8:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38ae297d2c8190adbec34ef206cc9a completed June 22, 2026, 3:38 a.m.
NEDg Description generation batch_6a38ae942ddc8190b125685dbf7407e2 completed June 22, 2026, 3:40 a.m.
NED2 Entity disambiguation (via description) batch_6a38af0c461c8190a7332d1709b5553c completed June 22, 2026, 3:42 a.m.
Created at: May 3, 2026, 4:07 p.m.