Triple

T36235021

Position	Surface form	Disambiguated ID	Type / Status
Subject	Grace Darling	`E891353`	entity
Predicate	victimRescuedFrom	`P96221`	FINISHED
Object	SS Forfarshire SS Forfarshire was a 19th-century British steamship best known for its 1838 shipwreck off the Northumberland coast, during which lighthouse keeper’s daughter Grace Darling famously helped rescue survivors.	`E2175399`	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 Forfarshire | Statement: [Grace Darling, victimRescuedFrom, SS Forfarshire]

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 Forfarshire
Triple: [Grace Darling, victimRescuedFrom, SS Forfarshire]

Generated description

SS Forfarshire was a 19th-century British steamship best known for its 1838 shipwreck off the Northumberland coast, during which lighthouse keeper’s daughter Grace Darling famously helped rescue survivors.

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

Target predicate: victimRescuedFrom
Context triple: [Grace Darling, victimRescuedFrom, SS Forfarshire]

A. crewRescued
Indicates that a crew has been successfully saved from danger or a threatening situation.
B. rescuedTo chosen
Indicates that one entity has been saved or freed from danger, harm, or a problematic situation and brought to the safety or custody of another entity or location.
C. rescuedDuring
Indicates that one entity was rescued in the course of, or as part of, a specified event or time period.
D. usedMeansToRescue
Indicates that one entity employed a particular method, tool, or means in order to carry out a rescue.
E. typeOfRescue
Indicates the specific method or category of rescue operation performed in a rescue event.
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_69f76e4387048190a1b27bcbf4ec7423`	completed	May 3, 2026, 3:48 p.m.
NER	Named-entity recognition	`batch_69f7b5a656808190b77b60d4703d0d91`	completed	May 3, 2026, 8:52 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a394d3deb0c819090d0155a6647f47b`	completed	June 22, 2026, 2:57 p.m.
NEDg	Description generation	`batch_6a394f7a4dd481909ac14a8ba31d899b`	completed	June 22, 2026, 3:06 p.m.
NED2	Entity disambiguation (via description)	`batch_6a3954064be08190ab1cd122c2a53311`	completed	June 22, 2026, 3:25 p.m.
PD	Predicate disambiguation	`batch_69f7b4c44390819084fb5558b354658f`	completed	May 3, 2026, 8:49 p.m.

Created at: May 3, 2026, 4:09 p.m.