Triple

T24923808
Position Surface form Disambiguated ID Type / Status
Subject J. Hillis Miller E618794 entity
Predicate fullName P16 FINISHED
Object Joseph Hillis Miller Jr.
Joseph Hillis Miller Jr. was a prominent American literary critic and theorist known for his influential work in deconstruction and Victorian literature.
 E1662726 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: Joseph Hillis Miller Jr. | Statement: [J. Hillis Miller, fullName, Joseph Hillis Miller Jr.]
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: Joseph Hillis Miller Jr.
Triple: [J. Hillis Miller, fullName, Joseph Hillis Miller Jr.]
Generated description
Joseph Hillis Miller Jr. was a prominent American literary critic and theorist known for his influential work in deconstruction and Victorian literature.

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_6a10489951048190ab64440cb431d5db completed May 22, 2026, 12:14 p.m.
NEDg Description generation batch_6a1049f04c5c819091dc7e9d760c91ce completed May 22, 2026, 12:20 p.m.
NED2 Entity disambiguation (via description) batch_6a104bbb9b6c81908fcc21c8c027b9de completed May 22, 2026, 12:27 p.m.
Created at: April 18, 2026, 5:29 a.m.