Triple

T25632226
Position Surface form Disambiguated ID Type / Status
Subject The Symbolism of Evil E642603 entity
Predicate hasPart P35 FINISHED
Object “Defilement and Sin”
“Defilement and Sin” is a major section of Paul Ricoeur’s philosophical work *The Symbolism of Evil* that explores how religious and cultural symbols of impurity and wrongdoing shape human understandings of guilt, morality, and evil.
 E1688639 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: “Defilement and Sin” | Statement: [The Symbolism of Evil, hasPart, “Defilement and Sin”]
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: “Defilement and Sin”
Triple: [The Symbolism of Evil, hasPart, “Defilement and Sin”]
Generated description
“Defilement and Sin” is a major section of Paul Ricoeur’s philosophical work *The Symbolism of Evil* that explores how religious and cultural symbols of impurity and wrongdoing shape human understandings of guilt, morality, and evil.

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_69e77e7bd4548190a0c691b8a2f27ff1 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5fa5dd31481909bfcbb9975403cc5 completed May 2, 2026, 1:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10b78569d08190b1b86513467861c7 completed May 22, 2026, 8:07 p.m.
NEDg Description generation batch_6a10b944f90481909222fddcb76101b1 completed May 22, 2026, 8:15 p.m.
NED2 Entity disambiguation (via description) batch_6a10b9fead408190b057b07cbe4e6f73 completed May 22, 2026, 8:18 p.m.
Created at: April 21, 2026, 5:18 p.m.