Triple

T24876189

Position	Surface form	Disambiguated ID	Type / Status
Subject	Miss Kathryn La Vallette	`E622575`	entity
Predicate	hasFamilyNavalLegacy	`P20564`	FINISHED
Object	La Vallette family The La Vallette family is a distinguished lineage known for its longstanding and notable service in naval and maritime affairs.	`E1650096`	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: La Vallette family | Statement: [Miss Kathryn La Vallette, hasFamilyNavalLegacy, La Vallette family]

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: La Vallette family
Triple: [Miss Kathryn La Vallette, hasFamilyNavalLegacy, La Vallette family]

Generated description

The La Vallette family is a distinguished lineage known for its longstanding and notable service in naval and maritime affairs.

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

Target predicate: hasFamilyNavalLegacy
Context triple: [Miss Kathryn La Vallette, hasFamilyNavalLegacy, La Vallette family]

A. hasNavalRole
Indicates that an entity holds or is assigned a role, function, or duty within a naval or maritime context.
B. hasNavalComponent
Indicates that something includes, involves, or is associated with a naval or maritime element as part of its composition or structure.
C. hasNotableNavalRank
Indicates that an entity holds or has held a distinguished or significant rank within a naval organization.
D. hasMaritimeHeritage chosen
Indicates that an entity possesses a historical, cultural, or traditional connection to maritime activities, seafaring, or the sea.
E. hadNavalInfantry
Indicates that a military force possessed or was supported by specialized naval infantry (marines) as part of its organization or operations.
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_69e2fac3fdbc81909c2ec49be5743cd9`	completed	April 18, 2026, 3:30 a.m.
NER	Named-entity recognition	`batch_69f606c79ad081908369605f72e65ca6`	completed	May 2, 2026, 2:14 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a101c61c7848190b72d0a413ae49c1a`	completed	May 22, 2026, 9:05 a.m.
NEDg	Description generation	`batch_6a10232a72148190bc08c0e99959303a`	completed	May 22, 2026, 9:34 a.m.
NED2	Entity disambiguation (via description)	`batch_6a10241703c48190bbc93cdfa73dc9f2`	completed	May 22, 2026, 9:38 a.m.
PD	Predicate disambiguation	`batch_69f602ce79ec8190b8336c2b9de18ac7`	completed	May 2, 2026, 1:57 p.m.

Created at: April 18, 2026, 5:24 a.m.