Triple

T36417294

Position	Surface form	Disambiguated ID	Type / Status
Subject	Cabot Cove Sheriff’s Department	`E897045`	entity
Predicate	associatedNetworkOfSeries	`P119906`	FINISHED
Object	CBS CBS is a major American broadcast television network known for airing a wide range of popular dramas, comedies, and news programs.	`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: [Cabot Cove Sheriff’s Department, associatedNetworkOfSeries, 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: [Cabot Cove Sheriff’s Department, associatedNetworkOfSeries, CBS]

Generated description

CBS is a major American broadcast television network known for airing a wide range of popular dramas, comedies, and news programs.

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

Target predicate: associatedNetworkOfSeries
Context triple: [Cabot Cove Sheriff’s Department, associatedNetworkOfSeries, CBS]

A. networkOfSeries
Indicates a relationship where multiple series are interconnected or grouped together as part of the same network or collection.
B. originalNetworkOfRelatedSeries
Indicates that a series served as the original network broadcaster for another, related series.
C. airingNetworkOfSeries chosen
Indicates the television network or channel on which a series is (or was) broadcast.
D. followedNetworkForSeries
Indicates that one entity has chosen to follow or subscribe to a network specifically in relation to a particular series.
E. associatedShow
Indicates a relationship where one entity is linked or connected to a particular show (e.g., as its subject, source, or related program).
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_69f76e54ce408190849acc3f7758937c`	completed	May 3, 2026, 3:48 p.m.
NER	Named-entity recognition	`batch_6a037c8e2c648190a65fc9c7872861af`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a39cfc2d5208190a912628aac777a33`	completed	June 23, 2026, 12:13 a.m.
NEDg	Description generation	`batch_6a39d10464508190a3d3a165e0366935`	completed	June 23, 2026, 12:19 a.m.
NED2	Entity disambiguation (via description)	`batch_6a39d166c18c819083279da244d4d483`	completed	June 23, 2026, 12:20 a.m.
PD	Predicate disambiguation	`batch_6a037a0a54cc8190868c1bfa1590d1a6`	completed	May 12, 2026, 7:05 p.m.

Created at: May 3, 2026, 4:10 p.m.