Triple

T35000113
Position Surface form Disambiguated ID Type / Status
Subject William S. Burroughs bibliography E1009648 entity
Predicate includesNotableWork P24127 FINISHED
Object The Cat Inside
The Cat Inside is a semi-autobiographical novella by William S. Burroughs that reflects on his life, relationships, and recurring feline imagery in a fragmented, introspective style.
E2120588 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 Cat Inside | Statement: [William S. Burroughs bibliography, includesNotableWork, The Cat Inside]
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 Cat Inside
Triple: [William S. Burroughs bibliography, includesNotableWork, The Cat Inside]
Generated description
The Cat Inside is a semi-autobiographical novella by William S. Burroughs that reflects on his life, relationships, and recurring feline imagery in a fragmented, introspective style.

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_69f76dcb716881909f75e4fd60ab2284 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f784c609588190af6a5bf5608af35e completed May 3, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37b28fc3fc8190a897949f7f673539 completed June 21, 2026, 9:44 a.m.
NEDg Description generation batch_6a37b38d3bc4819094bf270b456b80b1 completed June 21, 2026, 9:49 a.m.
NED2 Entity disambiguation (via description) batch_6a37b473ee748190b8f75b46a188bf5f completed June 21, 2026, 9:52 a.m.
Created at: May 3, 2026, 4:01 p.m.