Triple

T25465953

Position	Surface form	Disambiguated ID	Type / Status
Subject	Order of the Smile	`E638171`	entity
Predicate	hasTitleForRecipients	`P69419`	FINISHED
Object	Knight of the Order of the Smile Knight of the Order of the Smile is an honorary title bestowed upon individuals, often public figures or philanthropists, recognized by children for their exceptional contributions to the welfare and happiness of young people.	`E638171`	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 of the Order of the Smile | Statement: [Order of the Smile, hasTitleForRecipients, Knight of the Order of the Smile]

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 of the Order of the Smile
Triple: [Order of the Smile, hasTitleForRecipients, Knight of the Order of the Smile]

Generated description

Knight of the Order of the Smile is an honorary title bestowed upon individuals, often public figures or philanthropists, recognized by children for their exceptional contributions to the welfare and happiness of young people.

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

Target predicate: hasTitleForRecipients
Context triple: [Order of the Smile, hasTitleForRecipients, Knight of the Order of the Smile]

A. recipientTitleUsage
Indicates how a title or honorific is used when addressing or referring to the recipient in the context of the relationship or action.
B. hasTitleIn
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
C. hasTitleFrom chosen
Indicates that one entity holds or uses a title that originates from, or is conferred by, another entity.
D. hasReceivedTitle
Indicates that an entity has been granted or awarded a specific title or honor.
E. hasTitleName
Indicates that an entity possesses or is associated with a specific title or name.
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_69e75db8bab08190baca80b4a8c315fd`	completed	April 21, 2026, 11:21 a.m.
NER	Named-entity recognition	`batch_69f621fcea1481909b6f8b3af1ee6820`	completed	May 2, 2026, 4:10 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1089b7171c8190b5e5a044320080f3`	completed	May 22, 2026, 4:52 p.m.
NEDg	Description generation	`batch_6a108b354e148190abe0738535723e38`	completed	May 22, 2026, 4:58 p.m.
NED2	Entity disambiguation (via description)	`batch_6a108bc789948190bca50782a54091f8`	completed	May 22, 2026, 5 p.m.
PD	Predicate disambiguation	`batch_69f620dc38088190b56b2b15ed75b3c2`	completed	May 2, 2026, 4:05 p.m.

Created at: April 21, 2026, 2:14 p.m.