Triple

T36732337

Position	Surface form	Disambiguated ID	Type / Status
Subject	Matthew–Luke–Mark	`E907373`	entity
Predicate	hasComponentGospel	`P205026`	FINISHED
Object	Matthew Matthew is one of the four canonical Gospels in the New Testament, traditionally attributed to the apostle Matthew and known for its emphasis on Jesus as the fulfillment of Old Testament prophecy.	`E1581640`	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: Matthew | Statement: [Matthew–Luke–Mark, hasComponentGospel, Matthew]

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: Matthew
Triple: [Matthew–Luke–Mark, hasComponentGospel, Matthew]

Generated description

Matthew is one of the four canonical Gospels in the New Testament, traditionally attributed to the apostle Matthew and known for its emphasis on Jesus as the fulfillment of Old Testament prophecy.

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

Target predicate: hasComponentGospel
Context triple: [Matthew–Luke–Mark, hasComponentGospel, Matthew]

A. isGospelInfluenced
Indicates that one entity (such as a work, style, or performance) is influenced in its characteristics, form, or content by gospel music or gospel traditions.
B. hasGospelSinger
Indicates that an entity is associated with or features a person who performs gospel music.
C. hasEvangelist
Indicates that an entity has a designated evangelist who promotes, advocates for, or spreads the message about that entity.
D. linkedToGospel
Indicates a relationship where something is connected or related to the gospel, typically in content, origin, or thematic focus.
E. sideRepresentingGospel
Indicates that a particular side or facet of something is used to represent or symbolize the Gospel.
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_69f76e75aa6881909b844d00a3888ee5`	completed	May 3, 2026, 3:49 p.m.
NER	Named-entity recognition	`batch_6a037cad051c8190b28b354b89208574`	completed	May 12, 2026, 7:17 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3a3840b02c8190ad28d0f95b047159`	completed	June 23, 2026, 7:39 a.m.
NEDg	Description generation	`batch_6a3a38e3e30481909d7058161151526d`	completed	June 23, 2026, 7:42 a.m.
NED2	Entity disambiguation (via description)	`batch_6a3a4125ebd88190b0e2ceb7030c44f5`	completed	June 23, 2026, 8:17 a.m.
PD	Predicate disambiguation	`batch_6a037a0e039481908a4a2666f76c5363`	completed	May 12, 2026, 7:05 p.m.
PDg	Predicate description generation	`batch_6a037c82f8c88190bd77a086023ac0e1`	completed	May 12, 2026, 7:16 p.m.

Created at: May 3, 2026, 4:12 p.m.