Triple

T32841498

Position	Surface form	Disambiguated ID	Type / Status
Subject	HMS Bounty mutineers	`E839983`	entity
Predicate	someMembersCapturedBy	`P175531`	FINISHED
Object	HMS Pandora HMS Pandora was a British Royal Navy frigate dispatched in 1790 to hunt down and capture the mutineers from HMS Bounty in the South Pacific.	`E2030375`	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: HMS Pandora | Statement: [HMS Bounty mutineers, someMembersCapturedBy, HMS Pandora]

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: HMS Pandora
Triple: [HMS Bounty mutineers, someMembersCapturedBy, HMS Pandora]

Generated description

HMS Pandora was a British Royal Navy frigate dispatched in 1790 to hunt down and capture the mutineers from HMS Bounty in the South Pacific.

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

Target predicate: someMembersCapturedBy
Context triple: [HMS Bounty mutineers, someMembersCapturedBy, HMS Pandora]

A. capturedMembers
Indicates that one party has taken members of another party into custody or control, typically by force or during a conflict or operation.
B. capturedFor
Indicates that one entity has been taken into custody, control, or possession specifically for the benefit, use, or purpose of another entity.
C. capturedBy
Indicates that one entity has been seized, taken into control, or otherwise apprehended by another entity.
D. someMembersExhibit
Indicates that within a group or collection, at least one member displays or possesses a specified property, behavior, or characteristic.
E. capturedIn
Indicates that one entity was taken prisoner, seized, or otherwise brought under control within the context, location, or event represented by another entity.
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_69f3493ff0888190b51e974eae2a7834`	completed	April 30, 2026, 12:21 p.m.
NER	Named-entity recognition	`batch_69f6d210fc80819091ed8961aa2cddfb`	completed	May 3, 2026, 4:41 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a34d24f55e08190a273a1ff59603689`	completed	June 19, 2026, 5:23 a.m.
NEDg	Description generation	`batch_6a34d30d5a7c8190b05f04ed591361b0`	completed	June 19, 2026, 5:26 a.m.
NED2	Entity disambiguation (via description)	`batch_6a34d405a48c8190ab95daacc1a06ff5`	completed	June 19, 2026, 5:30 a.m.
PD	Predicate disambiguation	`batch_69f6cfe45554819089cbbd538d992132`	completed	May 3, 2026, 4:32 a.m.
PDg	Predicate description generation	`batch_69f6d16b79dc8190ab0d4657f2ef9a5b`	completed	May 3, 2026, 4:39 a.m.

Created at: May 1, 2026, 1:16 a.m.