Triple

T33128351
Position Surface form Disambiguated ID Type / Status
Subject Robert Wright Campbell E847782 entity
Predicate notableWork P4 FINISHED
Object The Cat’s Meow
The Cat’s Meow is a crime novel by American author Robert Wright Campbell, best known for its hardboiled style and witty, character-driven storytelling.
 E2038335 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’s Meow | Statement: [Robert Wright Campbell, notableWork, The Cat’s Meow]
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’s Meow
Triple: [Robert Wright Campbell, notableWork, The Cat’s Meow]
Generated description
The Cat’s Meow is a crime novel by American author Robert Wright Campbell, best known for its hardboiled style and witty, character-driven storytelling.

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_69f349588f088190b7c9588860f72033 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d7216ab08190889db6236a2cacf5 completed May 3, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a351618f4cc81908c3841284f6993c3 completed June 19, 2026, 10:12 a.m.
NEDg Description generation batch_6a3516f0a8748190bb2a2e6bb7c2b7cd completed June 19, 2026, 10:16 a.m.
NED2 Entity disambiguation (via description) batch_6a35191798188190b1738ac2d2e5e2fd completed June 19, 2026, 10:25 a.m.
Created at: May 1, 2026, 1:27 a.m.