Triple

T34956345

Position	Surface form	Disambiguated ID	Type / Status
Subject	Rich Hickey	`E1008130`	entity
Predicate	hasTalk	`P180776`	FINISHED
Object	Simple Made Easy Simple Made Easy is a widely regarded conference talk by Rich Hickey that explores the crucial distinction between simplicity and ease in software design and development.	`E2119328`	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: Simple Made Easy | Statement: [Rich Hickey, hasTalk, Simple Made Easy]

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: Simple Made Easy
Triple: [Rich Hickey, hasTalk, Simple Made Easy]

Generated description

Simple Made Easy is a widely regarded conference talk by Rich Hickey that explores the crucial distinction between simplicity and ease in software design and development.

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

Target predicate: hasTalk
Context triple: [Rich Hickey, hasTalk, Simple Made Easy]

A. hasSpokenAbout
Indicates that one entity has verbally expressed, discussed, or mentioned another entity or topic.
B. hasSpeakerIn chosen
Indicates that an event, work, or communication features a particular entity serving as its speaker.
C. hasDialogueIn
Indicates that an entity participates in or contains spoken or written dialogue within a specified context, such as a scene, work, or medium.
D. hasDialogueTrait
Indicates that an entity possesses a specific characteristic or quality related to dialogue or conversational behavior.
E. hasVoiceIn
Indicates that an entity participates by providing a voice role or vocal performance in another entity, such as a work, production, or recording.
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_69f76dc69564819099e9e78aed6ff0a6`	completed	May 3, 2026, 3:46 p.m.
NER	Named-entity recognition	`batch_69f78ce78b508190955848e133398dc8`	completed	May 3, 2026, 5:59 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a37a8ce4e0881909578bc67acb0ef51`	completed	June 21, 2026, 9:03 a.m.
NEDg	Description generation	`batch_6a37a9a50f1c819085a8f3c03b11a415`	completed	June 21, 2026, 9:06 a.m.
NED2	Entity disambiguation (via description)	`batch_6a37ab6826d48190a95fcf8f2b40186a`	completed	June 21, 2026, 9:14 a.m.
PD	Predicate disambiguation	`batch_69f78b8f4cc08190b49fccd798cb25d7`	completed	May 3, 2026, 5:53 p.m.

Created at: May 3, 2026, 4 p.m.