Triple

T36556327

Position	Surface form	Disambiguated ID	Type / Status
Subject	Seven Stars and Crown	`E901707`	entity
Predicate	partOf	`P40`	FINISHED
Object	heraldry of Gondor The heraldry of Gondor is the iconic emblem of the Númenórean kingdom in J.R.R. Tolkien’s Middle-earth, most famously displayed as a white tree surrounded by seven stars and a crown on a black field.	`E2189567`	NE FINISHED

How this triple was built (2 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: heraldry of Gondor | Statement: [Seven Stars and Crown, partOf, heraldry of Gondor]

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: heraldry of Gondor
Triple: [Seven Stars and Crown, partOf, heraldry of Gondor]

Generated description

The heraldry of Gondor is the iconic emblem of the Númenórean kingdom in J.R.R. Tolkien’s Middle-earth, most famously displayed as a white tree surrounded by seven stars and a crown on a black field.

Provenance (5 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_69f76e634e9481908c9ba1b87ab87c26`	completed	May 3, 2026, 3:48 p.m.
NER	Named-entity recognition	`batch_69f7c277a7a08190b67a7310e8616305`	completed	May 3, 2026, 9:47 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a39e6f034fc8190af0ebae6ade6f48b`	completed	June 23, 2026, 1:52 a.m.
NEDg	Description generation	`batch_6a39e7fe56d88190ab437b0517616a9e`	completed	June 23, 2026, 1:57 a.m.
NED2	Entity disambiguation (via description)	`batch_6a39ed0fdd188190b4907f10ddafa856`	completed	June 23, 2026, 2:18 a.m.

Created at: May 3, 2026, 4:11 p.m.