Triple

T32841128
Position Surface form Disambiguated ID Type / Status
Subject Edward Glover E839971 entity
Predicate notableWork P4 FINISHED
Object War, Sadism and Pacifism
"War, Sadism and Pacifism" is a psychoanalytic study by Edward Glover that examines the psychological roots of aggression, cruelty, and the human drive toward peace.
E2025016 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: War, Sadism and Pacifism | Statement: [Edward Glover, notableWork, War, Sadism and Pacifism]
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: War, Sadism and Pacifism
Triple: [Edward Glover, notableWork, War, Sadism and Pacifism]
Generated description
"War, Sadism and Pacifism" is a psychoanalytic study by Edward Glover that examines the psychological roots of aggression, cruelty, and the human drive toward peace.

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_69f3493ff0888190b51e974eae2a7834 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6ce32f420819085aaead4a09413fb completed May 3, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34bcfe0100819093b24a64350f36a3 completed June 19, 2026, 3:52 a.m.
NEDg Description generation batch_6a34bda4d1308190932b182fc3daee1f completed June 19, 2026, 3:55 a.m.
NED2 Entity disambiguation (via description) batch_6a34be47ee3c81909adac4069e76e8c4 completed June 19, 2026, 3:58 a.m.
Created at: May 1, 2026, 1:16 a.m.