Triple

T35531412

Position	Surface form	Disambiguated ID	Type / Status
Subject	Ethan Montgomery	`E1026808`	entity
Predicate	lifeStoryObservedBy	`P183209`	FINISHED
Object	Bailey Bailey is an individual closely connected to Ethan Montgomery, known for witnessing and perhaps chronicling the key events and developments of Ethan’s life.	`E2145604`	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: Bailey | Statement: [Ethan Montgomery, lifeStoryObservedBy, Bailey]

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: Bailey
Triple: [Ethan Montgomery, lifeStoryObservedBy, Bailey]

Generated description

Bailey is an individual closely connected to Ethan Montgomery, known for witnessing and perhaps chronicling the key events and developments of Ethan’s life.

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

Target predicate: lifeStoryObservedBy
Context triple: [Ethan Montgomery, lifeStoryObservedBy, Bailey]

A. originStoryIncludes
Indicates that an entity’s origin story contains, involves, or features the referenced element as a component or part of that backstory.
B. storyBy
Indicates that one entity is the creator or author of the story associated with another entity.
C. followsStoryOf
Indicates that one narrative, account, or storyline continues from, is based on, or is derived from the events or structure of another.
D. storyboardedBy
Indicates that a visual narrative work (such as a film, animation, or sequence) has its scenes or shots planned and illustrated by a specific storyboard artist or creator.
E. followsLifeOf
Indicates that one entity’s narrative, development, or progression is tracked or depicted over the course of that entity’s life.
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_69f76dff7e508190b28ceeee770dce23`	completed	May 3, 2026, 3:47 p.m.
NER	Named-entity recognition	`batch_69f79a54aa3c8190b2bb5d790b2d42d4`	completed	May 3, 2026, 6:56 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a38683b338c819082f3b61f213929d3`	completed	June 21, 2026, 10:39 p.m.
NEDg	Description generation	`batch_6a38696c51688190b1d97695dcfc63c4`	completed	June 21, 2026, 10:45 p.m.
NED2	Entity disambiguation (via description)	`batch_6a3869ecb09c8190bffe477099dcc2cf`	completed	June 21, 2026, 10:47 p.m.
PD	Predicate disambiguation	`batch_69f7961970408190b669cc556e30a608`	completed	May 3, 2026, 6:38 p.m.
PDg	Predicate description generation	`batch_69f79a53ccc481908421ae16e69aa8a4`	completed	May 3, 2026, 6:56 p.m.

Created at: May 3, 2026, 4:04 p.m.