Triple

T36607277
Position Surface form Disambiguated ID Type / Status
Subject Death Blossoms E903072 entity
Predicate hasContributor P4244 FINISHED
Object Partisan Defense Committee
The Partisan Defense Committee is a legal and political advocacy organization associated with leftist movements, known for supporting and defending political prisoners and activists.
E2190844 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: Partisan Defense Committee | Statement: [Death Blossoms, hasContributor, Partisan Defense Committee]
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: Partisan Defense Committee
Triple: [Death Blossoms, hasContributor, Partisan Defense Committee]
Generated description
The Partisan Defense Committee is a legal and political advocacy organization associated with leftist movements, known for supporting and defending political prisoners and activists.

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_69f76e66b7b88190848f7a3e1188915f completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c3403a04819087d3c5bca58d1ef0 completed May 3, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39f928907081908b4d79c7af121fa0 completed June 23, 2026, 3:10 a.m.
NEDg Description generation batch_6a39fa346e788190b70d7b77c103ede9 completed June 23, 2026, 3:15 a.m.
NED2 Entity disambiguation (via description) batch_6a39fc159b5081909ead179f75bfb86b completed June 23, 2026, 3:23 a.m.
Created at: May 3, 2026, 4:11 p.m.