Triple

T32082162

Position	Surface form	Disambiguated ID	Type / Status
Subject	Gheorghe (surname)	`E819327`	entity
Predicate	equivalentGivenName	`P176360`	FINISHED
Object	George George is a common masculine given name of Greek origin, widely used in English-speaking and many other cultures.	`E372348`	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: George | Statement: [Gheorghe (surname), equivalentGivenName, George]

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: George
Triple: [Gheorghe (surname), equivalentGivenName, George]

Generated description

George is a common masculine given name of Greek origin, widely used in English-speaking and many other cultures.

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

Target predicate: equivalentGivenName
Context triple: [Gheorghe (surname), equivalentGivenName, George]

A. equivalentGivenNameInEnglish
Indicates that two given names are equivalent in meaning or usage when expressed in English.
B. equivalentSurname
Indicates that two entities share the same surname or are considered to have matching surnames for identification or equivalence purposes.
C. givenNameFor
Indicates that one entity is the personal first name assigned to or used for another entity.
D. isEquivalentSurnameInEnglish
Indicates that two surnames are considered equivalent when rendered or transliterated into English.
E. givenName
Indicates the personal first name assigned to an individual.
F. None of above. chosen

Provenance (7 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_69f348ff8ef88190931c08ba530a36bc`	completed	April 30, 2026, 12:20 p.m.
NER	Named-entity recognition	`batch_69f6e02ba6b881908dfafc52d3b75f1c`	completed	May 3, 2026, 5:42 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a2f0111a88081908a8d7115472ac401`	completed	June 14, 2026, 7:29 p.m.
NEDg	Description generation	`batch_6a2f01a456dc81908db13502eee7fde9`	completed	June 14, 2026, 7:31 p.m.
NED2	Entity disambiguation (via description)	`batch_6a2f02b7f21c81908bbf45cf1a616aab`	completed	June 14, 2026, 7:36 p.m.
PD	Predicate disambiguation	`batch_69f6de09c2f481909f8b2545d3208c9f`	completed	May 3, 2026, 5:32 a.m.
PDg	Predicate description generation	`batch_69f6e029f0f88190b1f88d82a4a2cabd`	completed	May 3, 2026, 5:42 a.m.

Created at: May 1, 2026, 12:24 a.m.