Triple

T6025047

Position	Surface form	Disambiguated ID	Type / Status
Subject	Mark Davis	`E134154`	entity
Predicate	helpedStandardize	`P39264`	FINISHED
Object	Unicode text processing algorithms Unicode text processing algorithms are standardized procedures that define how Unicode text is compared, sorted, segmented, normalized, and otherwise manipulated consistently across different systems and languages.	`E564767`	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 text processing algorithms | Statement: [Mark Davis, helpedStandardize, Unicode text processing algorithms]

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

Target entity: Unicode text processing algorithms
Context triple: [Mark Davis, helpedStandardize, Unicode text processing algorithms]

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 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.
D. Unicode Technical Report #29
Unicode Technical Report #29 is the specification that defines how to determine and segment user-perceived text elements (grapheme clusters), words, and sentences in Unicode text.
E. 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.
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 text processing algorithms
Triple: [Mark Davis, helpedStandardize, Unicode text processing algorithms]

Generated description

Unicode text processing algorithms are standardized procedures that define how Unicode text is compared, sorted, segmented, normalized, and otherwise manipulated consistently across different systems and languages.

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

Target entity: Unicode text processing algorithms
Target entity description: Unicode text processing algorithms are standardized procedures that define how Unicode text is compared, sorted, segmented, normalized, and otherwise manipulated consistently across different systems and languages.

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 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.
D. Unicode Technical Report #29
Unicode Technical Report #29 is the specification that defines how to determine and segment user-perceived text elements (grapheme clusters), words, and sentences in Unicode text.
E. 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.
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_69c0560bae148190ad4755defaaf471b`	completed	March 22, 2026, 8:50 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.