Triple

T36225541
Position Surface form Disambiguated ID Type / Status
Subject Peter Forsskål E1047973 entity
Predicate notableWork P4 FINISHED
Object Thoughts on Civil Liberty
Thoughts on Civil Liberty is an influential 18th-century political pamphlet by Peter Forsskål advocating freedom of expression, civil rights, and limitations on state power.
E2174296 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: Thoughts on Civil Liberty | Statement: [Peter Forsskål, notableWork, Thoughts on Civil Liberty]
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: Thoughts on Civil Liberty
Triple: [Peter Forsskål, notableWork, Thoughts on Civil Liberty]
Generated description
Thoughts on Civil Liberty is an influential 18th-century political pamphlet by Peter Forsskål advocating freedom of expression, civil rights, and limitations on state power.

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_69f76e42c878819095c8d19c0267fb87 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b59f00a08190b4a640552f794246 completed May 3, 2026, 8:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a394d367af88190b22f722b6a0e2d1b completed June 22, 2026, 2:56 p.m.
NEDg Description generation batch_6a394dff6b688190a7bcb867748bc0fe completed June 22, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_6a394e7505d08190b3d191cefe3d2233 completed June 22, 2026, 3:02 p.m.
Created at: May 3, 2026, 4:09 p.m.