Triple

T26103885

Position	Surface form	Disambiguated ID	Type / Status
Subject	Italian Order of Merit for Labour	`E658485`	entity
Predicate	titleOfRecipient	`P12204`	FINISHED
Object	Cavaliere del Lavoro Cavaliere del Lavoro is an Italian honorific title awarded to distinguished entrepreneurs and business leaders for outstanding contributions to industry, agriculture, commerce, or craftsmanship.	`E658485`	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: Cavaliere del Lavoro | Statement: [Italian Order of Merit for Labour, titleOfRecipient, Cavaliere del Lavoro]

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: Cavaliere del Lavoro
Triple: [Italian Order of Merit for Labour, titleOfRecipient, Cavaliere del Lavoro]

Generated description

Cavaliere del Lavoro is an Italian honorific title awarded to distinguished entrepreneurs and business leaders for outstanding contributions to industry, agriculture, commerce, or craftsmanship.

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

Target predicate: titleOfRecipient
Context triple: [Italian Order of Merit for Labour, titleOfRecipient, Cavaliere del Lavoro]

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. recipientTitleRequired
Indicates that specifying the title of the recipient is mandatory for this relationship or action to be valid.
C. receivedTitle chosen
Indicates that an entity has been formally granted or awarded a specific title or honor.
D. titleHolderName
Indicates the name of the person or entity that holds a particular title or position.
E. titleHolderTo
Indicates that one entity currently holds or possesses an official title, position, or designation in relation to another entity.
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_69ee5bc09c288190bc42a11972841383`	completed	April 26, 2026, 6:38 p.m.
NER	Named-entity recognition	`batch_69f6d6a6b04c8190bee4cf9c00665ef7`	completed	May 3, 2026, 5:01 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a118563b304819099647b31e3c07ea9`	completed	May 23, 2026, 10:45 a.m.
NEDg	Description generation	`batch_6a11863d1c3881909b35d2859710d956`	completed	May 23, 2026, 10:49 a.m.
NED2	Entity disambiguation (via description)	`batch_6a11871f0f9c81908b836c8d759bf8dc`	completed	May 23, 2026, 10:53 a.m.
PD	Predicate disambiguation	`batch_69f6d26ceb08819091c71c001e954936`	completed	May 3, 2026, 4:43 a.m.

Created at: April 26, 2026, 7:57 p.m.