Triple

T34329229

Position	Surface form	Disambiguated ID	Type / Status
Subject	Here Come the Brides	`E880955`	entity
Predicate	hasFictionalTownFeature	`P199983`	FINISHED
Object	Bridal Veil Mountain Bridal Veil Mountain is a fictional mountain featured as part of the setting in the television series "Here Come the Brides."	`E2092354`	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: Bridal Veil Mountain | Statement: [Here Come the Brides, hasFictionalTownFeature, Bridal Veil Mountain]

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: Bridal Veil Mountain
Triple: [Here Come the Brides, hasFictionalTownFeature, Bridal Veil Mountain]

Generated description

Bridal Veil Mountain is a fictional mountain featured as part of the setting in the television series "Here Come the Brides."

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

Target predicate: hasFictionalTownFeature
Context triple: [Here Come the Brides, hasFictionalTownFeature, Bridal Veil Mountain]

A. hasFictionalTownType
Indicates that a fictional town is classified as being of a particular type or category.
B. hasFictionalNearbyTown
Indicates that an entity is associated with a fictional town located in its vicinity or surrounding area.
C. hasFictionalTownBasedOn
Indicates that a fictional town is modeled on, inspired by, or derived from a specific real-world town or location.
D. fictionalTownFeatured
Indicates that a fictional town is prominently depicted or serves as a key setting within a work or medium.
E. hasFictionalAddressTown
Indicates that an entity is associated with a town that serves as its fictional address location.
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_69f349ba96a08190b94887bae2d8ee49`	completed	April 30, 2026, 12:23 p.m.
NER	Named-entity recognition	`batch_69ff691f5ae481908597ce245188d31c`	completed	May 9, 2026, 5:04 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a36f9d763448190b4ac61cc48b0d5d3`	completed	June 20, 2026, 8:36 p.m.
NEDg	Description generation	`batch_6a36fda75690819099d8e858f3d24c08`	completed	June 20, 2026, 8:52 p.m.
NED2	Entity disambiguation (via description)	`batch_6a36fe01a8ac8190ab35cbe38fd1a6e8`	completed	June 20, 2026, 8:54 p.m.
PD	Predicate disambiguation	`batch_69ff67ceeeb081909fd00cad166c4b6a`	completed	May 9, 2026, 4:58 p.m.
PDg	Predicate description generation	`batch_69ff691e86d0819099fdb5eca5a95632`	completed	May 9, 2026, 5:04 p.m.

Created at: May 1, 2026, 1:58 a.m.