Triple

T25701021

Position	Surface form	Disambiguated ID	Type / Status
Subject	Sarah, Plain and Tall (1991 television score)	`E644459`	entity
Predicate	originallyComposedForNetwork	`P1996`	FINISHED
Object	CBS CBS is a major American broadcast television network known for its wide range of popular news, sports, and entertainment 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: [Sarah, Plain and Tall (1991 television score), originallyComposedForNetwork, 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: [Sarah, Plain and Tall (1991 television score), originallyComposedForNetwork, CBS]

Generated description

CBS is a major American broadcast television network known for its wide range of popular news, sports, and entertainment programming.

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

Target predicate: originallyComposedForNetwork
Context triple: [Sarah, Plain and Tall (1991 television score), originallyComposedForNetwork, CBS]

A. originallyWrittenFor chosen
Indicates that a work was initially created or composed with a particular recipient, medium, context, or purpose in mind.
B. producedForNetwork
Indicates that something was created or produced specifically for distribution or use by a particular network.
C. originallyProducedAs
Indicates that one entity was first created, released, or manufactured in the form of another specified entity or format.
D. originalNetworkOrFormat
Indicates the network, platform, or format in which a work was first originally released or presented.
E. originallyRecordedFor
Indicates that a work or performance was first recorded with the specific purpose of being used, released, or presented in the context of the target entity.
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_69e77e82c9bc8190893090b2f6c64f1d`	completed	April 21, 2026, 1:41 p.m.
NER	Named-entity recognition	`batch_69f7516d5b4081908588a6feb541f355`	completed	May 3, 2026, 1:45 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a10c13c7680819085aa0854bea369e5`	completed	May 22, 2026, 8:49 p.m.
NEDg	Description generation	`batch_6a10c1db351c819082d9d7ff8c9f130b`	completed	May 22, 2026, 8:51 p.m.
NED2	Entity disambiguation (via description)	`batch_6a10c2897e348190b1fa494f5891d742`	completed	May 22, 2026, 8:54 p.m.
PD	Predicate disambiguation	`batch_69f74d40ebb081909daf60623e38f41d`	completed	May 3, 2026, 1:27 p.m.

Created at: April 21, 2026, 8:45 p.m.