Triple

T28434389

Position	Surface form	Disambiguated ID	Type / Status
Subject	Norman Dale Baker	`E715220`	entity
Predicate	broadcastWork	`P121715`	FINISHED
Object	TNN NASCAR coverage TNN NASCAR coverage was The Nashville Network’s popular motorsports television programming that aired NASCAR races and related content, helping bring stock car racing to a national cable audience in the 1980s and 1990s.	`E1817695`	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: TNN NASCAR coverage | Statement: [Norman Dale Baker, broadcastWork, TNN NASCAR coverage]

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: TNN NASCAR coverage
Triple: [Norman Dale Baker, broadcastWork, TNN NASCAR coverage]

Generated description

TNN NASCAR coverage was The Nashville Network’s popular motorsports television programming that aired NASCAR races and related content, helping bring stock car racing to a national cable audience in the 1980s and 1990s.

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

Target predicate: broadcastWork
Context triple: [Norman Dale Baker, broadcastWork, TNN NASCAR coverage]

A. broadcastingWork chosen
Indicates that one entity is a broadcasted work (such as a radio or TV program) that is transmitted or made available to an audience by another entity.
B. broadcastFor
Indicates that one entity transmits or disseminates content, information, or a signal on behalf of, or in service of, another entity.
C. broadcastVia
Indicates that an action, message, or content is transmitted or disseminated through a specified medium, channel, or platform.
D. broadcastBlock
Indicates that one entity transmits or disseminates a block (such as a data block or message) to multiple recipients or across a network.
E. broadcastAfter
Indicates that one broadcast event occurs later in time than another broadcast event.
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_69efd6b253888190b3c7222ed6a403a8`	completed	April 27, 2026, 9:35 p.m.
NER	Named-entity recognition	`batch_69f66d7765208190b87b1cc6d96a151c`	completed	May 2, 2026, 9:32 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a16332921608190bcabc427d094b9f8`	completed	May 26, 2026, 11:56 p.m.
NEDg	Description generation	`batch_6a163560594081908c70213f08ef3f83`	completed	May 27, 2026, 12:05 a.m.
NED2	Entity disambiguation (via description)	`batch_6a1639a6eae881909596f0e21af432a5`	completed	May 27, 2026, 12:24 a.m.
PD	Predicate disambiguation	`batch_69f66abfdaf08190a55f14c70be6fd4d`	completed	May 2, 2026, 9:21 p.m.

Created at: April 28, 2026, 1:41 a.m.