Triple

T28147640

Position	Surface form	Disambiguated ID	Type / Status
Subject	Blue Coat School, Dudley	`E714526`	entity
Predicate	hasAlumnusTitle	`P117403`	FINISHED
Object	Knight Bachelor (Sir Lenny Henry) Knight Bachelor (Sir Lenny Henry) is a renowned British comedian, actor, writer, and co-founder of Comic Relief who was knighted for his services to drama and charity.	`E1806273`	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: Knight Bachelor (Sir Lenny Henry) | Statement: [Blue Coat School, Dudley, hasAlumnusTitle, Knight Bachelor (Sir Lenny Henry)]

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: Knight Bachelor (Sir Lenny Henry)
Triple: [Blue Coat School, Dudley, hasAlumnusTitle, Knight Bachelor (Sir Lenny Henry)]

Generated description

Knight Bachelor (Sir Lenny Henry) is a renowned British comedian, actor, writer, and co-founder of Comic Relief who was knighted for his services to drama and charity.

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

Target predicate: hasAlumnusTitle
Context triple: [Blue Coat School, Dudley, hasAlumnusTitle, Knight Bachelor (Sir Lenny Henry)]

A. hasAlumnusPosition
Indicates that an individual holds or has held a position or role as an alumnus of a particular institution or organization.
B. hasAlumni
Indicates that an institution or organization is associated with individuals who formerly attended or graduated from it.
C. hasAlumnusAchievement chosen
Indicates that an alumnus has attained a specific notable achievement or distinction.
D. hasAlumniField
Indicates a relationship where an entity is associated with a specific field or area of study in which its alumni specialized or graduated.
E. namedAlumnus
Indicates that an entity is explicitly identified or designated as an alumnus of another entity (such as an institution or organization).
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_69efd6b033208190bf74f80a147e2092`	completed	April 27, 2026, 9:35 p.m.
NER	Named-entity recognition	`batch_69f6c49627908190b3553474c7c3072b`	completed	May 3, 2026, 3:44 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a15d7a906248190a251e232dde79b77`	completed	May 26, 2026, 5:26 p.m.
NEDg	Description generation	`batch_6a15d930f12881909f5c9c1effb64334`	completed	May 26, 2026, 5:32 p.m.
NED2	Entity disambiguation (via description)	`batch_6a15d9acfe6881909a5ef479b52746c9`	completed	May 26, 2026, 5:34 p.m.
PD	Predicate disambiguation	`batch_69f6c3f23ae081909a52801266063a3c`	completed	May 3, 2026, 3:41 a.m.

Created at: April 27, 2026, 9:57 p.m.