Triple

T30798405

Position	Surface form	Disambiguated ID	Type / Status
Subject	The Royal	`E784294`	entity
Predicate	hasSpinOffRelationWith	`P41709`	FINISHED
Object	Heartbeat Heartbeat is a British television drama series set in 1960s rural Yorkshire, following the lives and work of local police officers and villagers.	`E1034748`	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: Heartbeat | Statement: [The Royal, hasSpinOffRelationWith, Heartbeat]

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: Heartbeat
Triple: [The Royal, hasSpinOffRelationWith, Heartbeat]

Generated description

Heartbeat is a British television drama series set in 1960s rural Yorkshire, following the lives and work of local police officers and villagers.

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

Target predicate: hasSpinOffRelationWith
Context triple: [The Royal, hasSpinOffRelationWith, Heartbeat]

A. hasSpinOff
Indicates that one entity is a derivative or spin-off product, work, or organization that originated from another entity.
B. hasSpinOffLabel
Indicates that one entity serves as a spin-off label or subsidiary label that originated from another label entity.
C. spinoffRelation chosen
Indicates a relationship where one entity originates as a derivative, offshoot, or spin-off from another entity.
D. hasFranchiseOrSpinOff
Indicates that one work, series, or product is related to another as a franchise entry or a spin-off derived from it.
E. hasSpinOffPotential
Indicates that an entity (such as a project, product, or idea) has the capacity to be developed into a separate, independent venture or derivative offering.
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_69f224b2e2a48190b19aa43db9da5b67`	completed	April 29, 2026, 3:33 p.m.
NER	Named-entity recognition	`batch_69fce7671f108190bf3ebf54339068b5`	completed	May 7, 2026, 7:26 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a28c7c263888190a4d24299fb13e25e`	completed	June 10, 2026, 2:11 a.m.
NEDg	Description generation	`batch_6a28cb3aa04c8190a1000c0ad3c9f675`	completed	June 10, 2026, 2:26 a.m.
NED2	Entity disambiguation (via description)	`batch_6a28cc6d10c48190b4d80bb129c95229`	completed	June 10, 2026, 2:31 a.m.
PD	Predicate disambiguation	`batch_69fce5b5a84c81908ac1b5b9f08d48d0`	completed	May 7, 2026, 7:19 p.m.

Created at: April 29, 2026, 8:42 p.m.