Triple

T28101175

Position	Surface form	Disambiguated ID	Type / Status
Subject	The Andy Warhol Diaries	`E710239`	entity
Predicate	basedOnEditor	`P81885`	FINISHED
Object	Pat Hackett Pat Hackett is an American editor and writer best known for her long collaboration with Andy Warhol, including co-editing and shaping his published diaries.	`E1844538`	NE FINISHED

How this triple was built (3 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: Pat Hackett | Statement: [The Andy Warhol Diaries, basedOnEditor, Pat Hackett]

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: Pat Hackett
Triple: [The Andy Warhol Diaries, basedOnEditor, Pat Hackett]

Generated description

Pat Hackett is an American editor and writer best known for her long collaboration with Andy Warhol, including co-editing and shaping his published diaries.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: basedOnEditor
Context triple: [The Andy Warhol Diaries, basedOnEditor, Pat Hackett]

A. basedOnText
Indicates that something is derived, adapted, or developed from a specific text source.
B. intendedEditor
Indicates that one entity is designated or expected to act as the editor of another entity (such as a document, work, or content).
C. basedOnBy
Indicates that one entity is derived from, justified by, or constructed using another entity as its source, foundation, or reference.
D. basedOnWorkEdited chosen
Indicates that one entity is derived from, adapted from, or otherwise created on the basis of a work that another entity has edited.
E. basedOnAuthor
Indicates that one entity is derived from, inspired by, or otherwise created on the basis of the work or contributions of a particular author.
F. None of above.

Provenance (6 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_69ef9b71fdb081908b4a61cd7ff147c1`	completed	April 27, 2026, 5:22 p.m.
NER	Named-entity recognition	`batch_69f7bbf906d8819099020e548dd56bc9`	completed	May 3, 2026, 9:19 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a2505867f048190a48c760a11857e2c`	completed	June 7, 2026, 5:45 a.m.
NEDg	Description generation	`batch_6a2509ba31c8819082af4190ac01be51`	completed	June 7, 2026, 6:03 a.m.
NED2	Entity disambiguation (via description)	`batch_6a250e2aedec8190b56183a021e81469`	completed	June 7, 2026, 6:22 a.m.
PD	Predicate disambiguation	`batch_69f7b9a2dcf88190a7c9e109e41267be`	completed	May 3, 2026, 9:09 p.m.

Created at: April 27, 2026, 9:05 p.m.