Triple

T25295284

Position	Surface form	Disambiguated ID	Type / Status
Subject	Helena, Arkansas	`E634199`	entity
Predicate	hasHistoricProgram	`P169514`	FINISHED
Object	King Biscuit Time King Biscuit Time is a long-running, influential blues radio program that helped popularize Delta blues music across the United States.	`E1672919`	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: King Biscuit Time | Statement: [Helena, Arkansas, hasHistoricProgram, King Biscuit Time]

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: King Biscuit Time
Triple: [Helena, Arkansas, hasHistoricProgram, King Biscuit Time]

Generated description

King Biscuit Time is a long-running, influential blues radio program that helped popularize Delta blues music across the United States.

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

Target predicate: hasHistoricProgram
Context triple: [Helena, Arkansas, hasHistoricProgram, King Biscuit Time]

A. hasHistoricMP
Indicates that an entity is or has been represented by a specific Member of Parliament at some point in the past.
B. hasHistoryIn
Indicates that an entity has a past involvement, presence, or record of activity within a particular domain, context, or location.
C. hasHistoricPlanning
Indicates that an entity has been subject to one or more planning decisions, applications, or designations of historic or heritage significance.
D. hasHistoricFeatures
Indicates that something possesses characteristics, elements, or attributes of historical significance.
E. hasHistoryPeriod
Indicates that something is associated with, belongs to, or occurs within a specific historical period or era.
F. None of above. chosen

Provenance (7 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_69e75a9503d48190b80a005c6af0cb50`	completed	April 21, 2026, 11:08 a.m.
NER	Named-entity recognition	`batch_69f67fc237608190b6542b56038a7fe4`	completed	May 2, 2026, 10:50 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a10680c2e988190a659e17d926eb35c`	completed	May 22, 2026, 2:28 p.m.
NEDg	Description generation	`batch_6a106940a70c81909a15eb7e78b00f0a`	completed	May 22, 2026, 2:33 p.m.
NED2	Entity disambiguation (via description)	`batch_6a106a510e208190894bcbb3d36b92dd`	completed	May 22, 2026, 2:38 p.m.
PD	Predicate disambiguation	`batch_69f67e3ed894819094c067c1ef624951`	completed	May 2, 2026, 10:44 p.m.
PDg	Predicate description generation	`batch_69f67f0353c88190a05b2db449abe0f4`	completed	May 2, 2026, 10:47 p.m.

Created at: April 21, 2026, 1:22 p.m.