Triple

T26268503
Position Surface form Disambiguated ID Type / Status
Subject Weldon Kees E657053 entity
Predicate notableWork P4 FINISHED
Object The Fall of the Magicians
The Fall of the Magicians is a poem by American writer and poet Weldon Kees, reflecting his characteristic blend of dark irony, modernist style, and postwar disillusionment.
 E1716977 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: The Fall of the Magicians | Statement: [Weldon Kees, notableWork, The Fall of the Magicians]
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: The Fall of the Magicians
Triple: [Weldon Kees, notableWork, The Fall of the Magicians]
Generated description
The Fall of the Magicians is a poem by American writer and poet Weldon Kees, reflecting his characteristic blend of dark irony, modernist style, and postwar disillusionment.

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_69ee5b4e21bc819082be98bc9ab09796 completed April 26, 2026, 6:37 p.m.
NER Named-entity recognition batch_69f60e2ef4bc8190b1ca37c0daf80ea4 completed May 2, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a118fb28244819099f27bdfa30b26c5 completed May 23, 2026, 11:29 a.m.
NEDg Description generation batch_6a11902e8fa08190a631fab5541f89ca completed May 23, 2026, 11:31 a.m.
NED2 Entity disambiguation (via description) batch_6a119094eaf88190a68b09d1ec79b634 completed May 23, 2026, 11:33 a.m.
Created at: April 26, 2026, 9:12 p.m.