Triple

T24923836
Position Surface form Disambiguated ID Type / Status
Subject J. Hillis Miller E618794 entity
Predicate notableWork P4 FINISHED
Object The J. Hillis Miller Reader
The J. Hillis Miller Reader is a curated collection of key essays by literary critic J. Hillis Miller, showcasing his influential contributions to deconstruction and contemporary literary theory.
 E1657641 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 J. Hillis Miller Reader | Statement: [J. Hillis Miller, notableWork, The J. Hillis Miller Reader]
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 J. Hillis Miller Reader
Triple: [J. Hillis Miller, notableWork, The J. Hillis Miller Reader]
Generated description
The J. Hillis Miller Reader is a curated collection of key essays by literary critic J. Hillis Miller, showcasing his influential contributions to deconstruction and contemporary literary theory.

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_69e2fab9edd88190b86004a78a28bc20 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f423adaae48190885fe3dab1961b34 completed May 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10333489c881909e0aab26a9b06b22 completed May 22, 2026, 10:43 a.m.
NEDg Description generation batch_6a1033eeacac81909e208f3b3e17190e completed May 22, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a1034d8d52481908c5c422f943c683b completed May 22, 2026, 10:50 a.m.
Created at: April 18, 2026, 5:29 a.m.