Triple

T6025017

Position	Surface form	Disambiguated ID	Type / Status
Subject	Mark Davis	`E134154`	entity
Predicate	contributedTo	`P37`	FINISHED
Object	Unicode normalization Unicode normalization is a set of standardized processes that convert equivalent Unicode text sequences into a consistent canonical form to ensure reliable comparison, searching, and processing of text across systems.	`E564765`	NE FINISHED

How this triple was built (4 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: Unicode normalization | Statement: [Mark Davis, contributedTo, Unicode normalization]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Unicode normalization
Context triple: [Mark Davis, contributedTo, Unicode normalization]

A. Unicode Technical Standard #35
Unicode Technical Standard #35 is a Unicode Consortium specification that defines the Locale Data Markup Language (LDML) and related mechanisms for internationalization, including formatting of dates, times, numbers, and other locale-sensitive data.
B. Unicode Technical Standard #10
Unicode Technical Standard #10 is the specification that defines the Unicode Collation Algorithm, providing a standardized method for comparing and sorting Unicode text across languages and platforms.
C. Unicode
Unicode is a universal character encoding standard that assigns unique code points to virtually all written scripts, symbols, and emojis used in modern computing.
D. Unicode ICU
Unicode ICU (International Components for Unicode) is a widely used open-source library that provides robust, cross-platform support for Unicode text handling, internationalization, and localization in software applications.
E. Unicode Core Specification
The Unicode Core Specification is the primary technical standard that defines the Unicode character set, its encoding model, and the fundamental rules for representing and processing text in modern computing systems.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

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: Unicode normalization
Triple: [Mark Davis, contributedTo, Unicode normalization]

Generated description

Unicode normalization is a set of standardized processes that convert equivalent Unicode text sequences into a consistent canonical form to ensure reliable comparison, searching, and processing of text across systems.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Unicode normalization
Target entity description: Unicode normalization is a set of standardized processes that convert equivalent Unicode text sequences into a consistent canonical form to ensure reliable comparison, searching, and processing of text across systems.

A. Unicode Technical Standard #35
Unicode Technical Standard #35 is a Unicode Consortium specification that defines the Locale Data Markup Language (LDML) and related mechanisms for internationalization, including formatting of dates, times, numbers, and other locale-sensitive data.
B. Unicode Technical Standard #10
Unicode Technical Standard #10 is the specification that defines the Unicode Collation Algorithm, providing a standardized method for comparing and sorting Unicode text across languages and platforms.
C. Unicode
Unicode is a universal character encoding standard that assigns unique code points to virtually all written scripts, symbols, and emojis used in modern computing.
D. Unicode ICU
Unicode ICU (International Components for Unicode) is a widely used open-source library that provides robust, cross-platform support for Unicode text handling, internationalization, and localization in software applications.
E. Unicode Core Specification
The Unicode Core Specification is the primary technical standard that defines the Unicode character set, its encoding model, and the fundamental rules for representing and processing text in modern computing systems.
F. None of above. chosen

Provenance (5 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_69c008742a5c8190b9cb9c2787a3d8b3`	completed	March 22, 2026, 3:19 p.m.
NER	Named-entity recognition	`batch_69c04fc08c5c819085afab5b18bce4d1`	completed	March 22, 2026, 8:23 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69c11375b4448190ad3087b21ac67329`	completed	March 23, 2026, 10:18 a.m.
NEDg	Description generation	`batch_69c11551bec88190be77db3ec96045ad`	completed	March 23, 2026, 10:26 a.m.
NED2	Entity disambiguation (via description)	`batch_69c115f88e948190a3ea11b33742779c`	completed	March 23, 2026, 10:29 a.m.

Created at: March 22, 2026, 4:07 p.m.