Triple

T38037077

Position	Surface form	Disambiguated ID	Type / Status
Subject	גבעת שמואל	`E949379`	entity
Predicate	קרויה על שם	`P118939`	FINISHED
Object	שמואל פנחס ברנשטיין שמואל פנחס ברנשטיין היה מנהיג ועסקן ציבור יהודי בולט, שעל שמו נקראה העיר גבעת שמואל.	`E2253491`	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: שמואל פנחס ברנשטיין | Statement: [גבעת שמואל, קרויה על שם, שמואל פנחס ברנשטיין]

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: שמואל פנחס ברנשטיין
Triple: [גבעת שמואל, קרויה על שם, שמואל פנחס ברנשטיין]

Generated description

שמואל פנחס ברנשטיין היה מנהיג ועסקן ציבור יהודי בולט, שעל שמו נקראה העיר גבעת שמואל.

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

Target predicate: קרויה על שם
Context triple: [גבעת שמואל, קרויה על שם, שמואל פנחס ברנשטיין]

A. nameOf
Indicates that one entity is the name or designation of another entity.
B. namedAccordingTo chosen
Indicates that one entity is given a name that follows, references, or is derived from another entity or source.
C. נקראים
Indicates that entities are named, called, or referred to by a particular term or title.
D. nameGivesRiseTo
Indicates that one name, term, or designation leads to, causes, or results in the emergence or establishment of another.
E. givenNameFor
Indicates that one entity is the personal first name assigned to or used for 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_69f76eff0bb0819084bc4e63997bd039`	completed	May 3, 2026, 3:51 p.m.
NER	Named-entity recognition	`batch_69fc44c7e73c819082d4fc1900fb9632`	completed	May 7, 2026, 7:52 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a415446f7248190931fa8016f10b0e3`	completed	June 28, 2026, 5:05 p.m.
NEDg	Description generation	`batch_6a415595562c8190b47fec2243f0157c`	completed	June 28, 2026, 5:10 p.m.
NED2	Entity disambiguation (via description)	`batch_6a41560e36508190b2b36868187f316b`	completed	June 28, 2026, 5:12 p.m.
PD	Predicate disambiguation	`batch_69fbc8efffbc8190a139798ad1880526`	completed	May 6, 2026, 11:04 p.m.

Created at: May 3, 2026, 4:20 p.m.