Triple

T27963516

Position	Surface form	Disambiguated ID	Type / Status
Subject	Apollos	`E704651`	entity
Predicate	furtherInstructedBy	`P12723`	FINISHED
Object	Priscilla Priscilla is a prominent early Christian woman mentioned in the New Testament, known for her ministry alongside her husband Aquila and for helping to teach and mentor leaders in the early church.	`E1799097`	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: Priscilla | Statement: [Apollos, furtherInstructedBy, Priscilla]

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: Priscilla
Triple: [Apollos, furtherInstructedBy, Priscilla]

Generated description

Priscilla is a prominent early Christian woman mentioned in the New Testament, known for her ministry alongside her husband Aquila and for helping to teach and mentor leaders in the early church.

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

Target predicate: furtherInstructedBy
Context triple: [Apollos, furtherInstructedBy, Priscilla]

A. guidedBy chosen
Indicates that an entity’s actions, decisions, or movement are directed, advised, or led by another entity.
B. directedTo
Indicates that something is sent, aimed, or addressed toward a particular target or recipient.
C. canInstruct
Indicates that one entity has the authority or ability to give instructions or guidance to another entity.
D. commandedToBeTaught
Indicates that one entity has issued an instruction that another entity is to be taught or instructed in something.
E. furtherAmendedBy
Indicates that an existing item (such as a document, law, or agreement) is modified again by a subsequent amendment, building on prior changes.
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_69ef841061e48190b5570f9562f7434d`	completed	April 27, 2026, 3:43 p.m.
NER	Named-entity recognition	`batch_69f63b058f6c8190af423aae815a0599`	completed	May 2, 2026, 5:57 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a15b88d71788190a55d48ec0fdb5a8d`	completed	May 26, 2026, 3:13 p.m.
NEDg	Description generation	`batch_6a15b9f60f4c819096572429132b28ee`	completed	May 26, 2026, 3:19 p.m.
NED2	Entity disambiguation (via description)	`batch_6a15bab9c38481909174d09a000320a6`	completed	May 26, 2026, 3:22 p.m.
PD	Predicate disambiguation	`batch_69f63710d17c819084cfe96e6df334fd`	completed	May 2, 2026, 5:40 p.m.

Created at: April 27, 2026, 7:33 p.m.