Triple

T30703491

Position	Surface form	Disambiguated ID	Type / Status
Subject	Anna-Marie Gabriel	`E781686`	entity
Predicate	hasFamilyConnectionThroughMarriageWith	`P7844`	FINISHED
Object	Meabh Flynn Meabh Flynn is a British sound engineer and producer known for her work in audio post-production and her marriage to musician Peter Gabriel.	`E220130`	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: Meabh Flynn | Statement: [Anna-Marie Gabriel, hasFamilyConnectionThroughMarriageWith, Meabh Flynn]

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: Meabh Flynn
Triple: [Anna-Marie Gabriel, hasFamilyConnectionThroughMarriageWith, Meabh Flynn]

Generated description

Meabh Flynn is a British sound engineer and producer known for her work in audio post-production and her marriage to musician Peter Gabriel.

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

Target predicate: hasFamilyConnectionThroughMarriageWith
Context triple: [Anna-Marie Gabriel, hasFamilyConnectionThroughMarriageWith, Meabh Flynn]

A. connectedThroughMarriageVia
Indicates that two entities are related to each other by a marital connection that is mediated through one or more intermediate spouses or in-laws, rather than by a direct marriage between them.
B. hasFamilialTieTo chosen
Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
C. hasNephewByMarriage
Indicates that one person is the nephew of another person through marriage rather than by blood.
D. hasMemberSpouseConnection
Indicates a relationship where one entity is a spouse of a member associated with the other entity.
E. maritalRelations
Indicates a legally or socially recognized spousal relationship or marriage-based connection between two entities.
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_69f224abfcf081909492e64d3cc35262`	completed	April 29, 2026, 3:33 p.m.
NER	Named-entity recognition	`batch_69fba78aca4c8190b8f1831e8cc04e06`	completed	May 6, 2026, 8:41 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a291811fb1c819096ab41c4505e2983`	completed	June 10, 2026, 7:53 a.m.
NEDg	Description generation	`batch_6a29197be90c8190bba41e7a1a7f9222`	completed	June 10, 2026, 7:59 a.m.
NED2	Entity disambiguation (via description)	`batch_6a291a7f7804819099458886138be398`	completed	June 10, 2026, 8:04 a.m.
PD	Predicate disambiguation	`batch_69fba34a65a4819088bac6c17542d71c`	completed	May 6, 2026, 8:23 p.m.

Created at: April 29, 2026, 8:34 p.m.