Triple

T25082329

Position	Surface form	Disambiguated ID	Type / Status
Subject	Vyner Brooke	`E628217`	entity
Predicate	notableShipNamedAfter	`P157428`	FINISHED
Object	SS Vyner Brooke SS Vyner Brooke was a British coastal steamer best known for its role in evacuating civilians and military personnel from Singapore during World War II before being sunk by Japanese aircraft in 1942.	`E1690959`	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: SS Vyner Brooke | Statement: [Vyner Brooke, notableShipNamedAfter, SS Vyner Brooke]

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: SS Vyner Brooke
Triple: [Vyner Brooke, notableShipNamedAfter, SS Vyner Brooke]

Generated description

SS Vyner Brooke was a British coastal steamer best known for its role in evacuating civilians and military personnel from Singapore during World War II before being sunk by Japanese aircraft in 1942.

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

Target predicate: notableShipNamedAfter
Context triple: [Vyner Brooke, notableShipNamedAfter, SS Vyner Brooke]

A. notableShip
Indicates that there is a notable or significant ship associated with the subject entity.
B. vesselNamedAfter
Indicates that a vessel (such as a ship or boat) bears a name derived from or in honor of a particular person, place, event, or entity.
C. notableShipOnRoute
Indicates that a particular ship is especially significant or prominent among those operating on a given route.
D. namesakeShip chosen
Indicates that one entity is a ship that is named after, or serves as the namesake of, another entity.
E. notableVictimShip
Indicates that a ship is recognized as a particularly significant or noteworthy victim in a specific incident or context.
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_69e2ff2e73f881909992bf3eda5c25cb`	completed	April 18, 2026, 3:49 a.m.
NER	Named-entity recognition	`batch_69f757898fe48190b124dc7301672623`	completed	May 3, 2026, 2:11 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a10c10f27748190aa479a877f81f540`	completed	May 22, 2026, 8:48 p.m.
NEDg	Description generation	`batch_6a10c22b19a48190b04130bdb7763f0a`	completed	May 22, 2026, 8:52 p.m.
NED2	Entity disambiguation (via description)	`batch_6a10c2de07648190858ba8901748aa53`	completed	May 22, 2026, 8:55 p.m.
PD	Predicate disambiguation	`batch_69f754c484348190948d2a04ff228fb1`	completed	May 3, 2026, 1:59 p.m.

Created at: April 18, 2026, 6:22 a.m.