Triple

T33128048

Position	Surface form	Disambiguated ID	Type / Status
Subject	The Carol Burnett Show: The Best of Eunice	`E847773`	entity
Predicate	originalNetworkOfSourceMaterial	`P111224`	FINISHED
Object	CBS CBS is a major American broadcast television network known for its long-running comedy, drama, and variety programming.	`E6070`	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: CBS | Statement: [The Carol Burnett Show: The Best of Eunice, originalNetworkOfSourceMaterial, CBS]

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: CBS
Triple: [The Carol Burnett Show: The Best of Eunice, originalNetworkOfSourceMaterial, CBS]

Generated description

CBS is a major American broadcast television network known for its long-running comedy, drama, and variety programming.

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

Target predicate: originalNetworkOfSourceMaterial
Context triple: [The Carol Burnett Show: The Best of Eunice, originalNetworkOfSourceMaterial, CBS]

A. originalNetwork
Indicates that one entity is the original or source network from which another network or derived entity is based or obtained.
B. originalMaterialFor
Indicates that one entity serves as the source or basis material from which another entity is derived, adapted, or created.
C. materialSource
Indicates that one entity serves as the origin or provider of the material or substance used by another entity.
D. hasSourceMaterial
Indicates that something is derived from, based on, or created using a particular source material.
E. originalNetworkOrFormat chosen
Indicates the network, platform, or format in which a work was first originally released or presented.
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_69f349588f088190b7c9588860f72033`	completed	April 30, 2026, 12:21 p.m.
NER	Named-entity recognition	`batch_6a0227ce59a081909fe1ba1181d86b4d`	completed	May 11, 2026, 7:02 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a35160e78208190857689ea9ee08a8a`	completed	June 19, 2026, 10:12 a.m.
NEDg	Description generation	`batch_6a351886740c8190a688ff4daf3c1572`	completed	June 19, 2026, 10:23 a.m.
NED2	Entity disambiguation (via description)	`batch_6a351c19954c81909ddf38c28bdad753`	completed	June 19, 2026, 10:38 a.m.
PD	Predicate disambiguation	`batch_6a02273989208190beb948b8c7bdaee3`	completed	May 11, 2026, 7 p.m.

Created at: May 1, 2026, 1:27 a.m.