Triple

T33856431

Position	Surface form	Disambiguated ID	Type / Status
Subject	Harmony Parker	`E867787`	entity
Predicate	portrayedInTelevisionAdaptationBy	`P1507`	FINISHED
Object	Victoria Shalet Victoria Shalet is a British former child actress best known for her television and film roles in the 1990s, including prominent parts in family dramas and adaptations.	`E2080314`	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: Victoria Shalet | Statement: [Harmony Parker, portrayedInTelevisionAdaptationBy, Victoria Shalet]

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: Victoria Shalet
Triple: [Harmony Parker, portrayedInTelevisionAdaptationBy, Victoria Shalet]

Generated description

Victoria Shalet is a British former child actress best known for her television and film roles in the 1990s, including prominent parts in family dramas and adaptations.

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

Target predicate: portrayedInTelevisionAdaptationBy
Context triple: [Harmony Parker, portrayedInTelevisionAdaptationBy, Victoria Shalet]

A. portrayedInAdaptationOf
Indicates that an entity is depicted as a character or role within an adaptation (such as a film, series, or game) that is based on another original work.
B. adaptationPortrayalBy
Indicates that one work serves as an adaptation that portrays or represents the content of another work.
C. portrayedVia
Indicates that one entity is represented, depicted, or expressed through a particular medium, method, or channel.
D. portrayedBy chosen
Indicates that one entity serves as the actor or performer who represents or plays the role of another entity in a work or medium.
E. appearsInAdaptationBy
Indicates that an entity is featured or present in an adaptation created by a specified adapter (e.g., author, director, or studio).
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_69f349943ccc8190a3c41a3e0ae46cbf`	completed	April 30, 2026, 12:22 p.m.
NER	Named-entity recognition	`batch_69fefb15220081908da36aac386fa582`	completed	May 9, 2026, 9:15 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a36ae340ff48190ae882b4779a794db`	completed	June 20, 2026, 3:13 p.m.
NEDg	Description generation	`batch_6a36aed66c20819091ea25f3d7c531e9`	completed	June 20, 2026, 3:16 p.m.
NED2	Entity disambiguation (via description)	`batch_6a36af6a16688190bb1feb2a972f3945`	completed	June 20, 2026, 3:19 p.m.
PD	Predicate disambiguation	`batch_69fefa8e8ad48190a723fed81e9d64d0`	completed	May 9, 2026, 9:12 a.m.

Created at: May 1, 2026, 1:47 a.m.