Triple

T38160413

Position	Surface form	Disambiguated ID	Type / Status
Subject	Zapfino Arabic	`E953000`	entity
Predicate	designedAsCompanionFor	`P200466`	FINISHED
Object	Zapfino Latin script Zapfino Latin script is an elegant, highly calligraphic Latin typeface known for its flowing, handwritten style and extensive set of ligatures and alternate characters.	`E2257233`	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: Zapfino Latin script | Statement: [Zapfino Arabic, designedAsCompanionFor, Zapfino Latin script]

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: Zapfino Latin script
Triple: [Zapfino Arabic, designedAsCompanionFor, Zapfino Latin script]

Generated description

Zapfino Latin script is an elegant, highly calligraphic Latin typeface known for its flowing, handwritten style and extensive set of ligatures and alternate characters.

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

Target predicate: designedAsCompanionFor
Context triple: [Zapfino Arabic, designedAsCompanionFor, Zapfino Latin script]

A. designedToAccompany chosen
Indicates that one entity is created or intended specifically to be used, experienced, or present together with another entity.
B. companionOf
Indicates that one entity serves as a companion or partner to another, typically accompanying or being closely associated with them.
C. hasCompanionPiece
Indicates that one item is conceptually or functionally paired with another item as its companion piece.
D. hasCompanionBook
Indicates that one entity (typically a primary work) is associated with another entity that serves as its companion book, providing supplementary or related content.
E. includesCompanion
Indicates that one entity involves, contains, or is accompanied by another entity acting as a companion.
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_69f76f0b93c48190a117319ab3a9f282`	completed	May 3, 2026, 3:51 p.m.
NER	Named-entity recognition	`batch_69ff956dc6548190979171d4b4068d47`	completed	May 9, 2026, 8:13 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a41713b51dc819094d271009baf1767`	completed	June 28, 2026, 7:08 p.m.
NEDg	Description generation	`batch_6a4172852cac8190bb4ad66a53a11bf7`	completed	June 28, 2026, 7:14 p.m.
NED2	Entity disambiguation (via description)	`batch_6a4172f2b3688190869bda97f27723ba`	completed	June 28, 2026, 7:16 p.m.
PD	Predicate disambiguation	`batch_69ff93dc39c481908a97a12c3ef7dfe7`	completed	May 9, 2026, 8:06 p.m.

Created at: May 3, 2026, 4:21 p.m.