Triple

T34091792

Position	Surface form	Disambiguated ID	Type / Status
Subject	M2 muscarinic acetylcholine receptor	`E874316`	entity
Predicate	receptorSubtype	`P178411`	FINISHED
Object	M2 M2 is a subtype of muscarinic acetylcholine receptor primarily involved in inhibiting cardiac activity and modulating parasympathetic nervous system responses.	`E2081463`	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: M2 | Statement: [M2 muscarinic acetylcholine receptor, receptorSubtype, M2]

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: M2
Triple: [M2 muscarinic acetylcholine receptor, receptorSubtype, M2]

Generated description

M2 is a subtype of muscarinic acetylcholine receptor primarily involved in inhibiting cardiac activity and modulating parasympathetic nervous system responses.

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

Target predicate: receptorSubtype
Context triple: [M2 muscarinic acetylcholine receptor, receptorSubtype, M2]

A. receptor
Indicates that one entity functions as a receptor for another, typically binding or receiving a signal, substance, or stimulus from it.
B. receptorTypeInteractedWith
Indicates that one entity has interacted with, bound to, or otherwise engaged a specific type of receptor.
C. receptorSystem
Indicates that one entity functions as a receptor system through which another entity receives, processes, or responds to signals or stimuli.
D. receptorTypeAtEffector
Indicates that a specific type of receptor is present at, or associated with, a particular effector site or effector cell.
E. receptorInput
Indicates that a receptor receives or is provided with an input signal or stimulus from another entity.
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_69f349a735208190a1dbfb1c2a121059`	completed	April 30, 2026, 12:23 p.m.
NER	Named-entity recognition	`batch_69f7107acf0481909b01467b9ebbde01`	completed	May 3, 2026, 9:08 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a36ae5c3e2c8190a64af10f5c848f3b`	completed	June 20, 2026, 3:14 p.m.
NEDg	Description generation	`batch_6a36af3eb7288190bee994ee99c9cb56`	completed	June 20, 2026, 3:18 p.m.
NED2	Entity disambiguation (via description)	`batch_6a36afe4c5cc81909ea9c8b3d3903db5`	completed	June 20, 2026, 3:21 p.m.
PD	Predicate disambiguation	`batch_69f70f3a54d481909ba6bdda3647b761`	completed	May 3, 2026, 9:02 a.m.
PDg	Predicate description generation	`batch_69f70fb41a9c8190a121e62e510dc18a`	completed	May 3, 2026, 9:04 a.m.

Created at: May 1, 2026, 1:52 a.m.