Triple

T25158450

Position	Surface form	Disambiguated ID	Type / Status
Subject	The Dancers at the End of Time	`E626376`	entity
Predicate	hasSubseriesOrRelatedVolume	`P35499`	FINISHED
Object	Legends from the End of Time Legends from the End of Time is a collection of interconnected science fantasy stories by Michael Moorcock set in his decadent, far-future End of Time universe.	`E1665665`	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: Legends from the End of Time | Statement: [The Dancers at the End of Time, hasSubseriesOrRelatedVolume, Legends from the End of Time]

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: Legends from the End of Time
Triple: [The Dancers at the End of Time, hasSubseriesOrRelatedVolume, Legends from the End of Time]

Generated description

Legends from the End of Time is a collection of interconnected science fantasy stories by Michael Moorcock set in his decadent, far-future End of Time universe.

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

Target predicate: hasSubseriesOrRelatedVolume
Context triple: [The Dancers at the End of Time, hasSubseriesOrRelatedVolume, Legends from the End of Time]

A. belongsToSubseries
Indicates that one item is part of, or contained within, a more specific subseries of a larger series or collection.
B. hasSubSeries chosen
Indicates that one series is a subordinate or component series within a larger parent series.
C. hasSeriesSubject
Indicates that a series is about, centers on, or thematically focuses on a particular subject.
D. hasAnthologyRelation
Indicates that there is a relationship between entities based on their inclusion in, contribution to, or association with the same anthology or collected work.
E. hasSisterPublication
Indicates that one publication is related to another as a sister publication, typically under the same parent organization or closely associated in scope or branding.
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_69e2ff2834ec8190b0872e2ec3d76023`	completed	April 18, 2026, 3:48 a.m.
NER	Named-entity recognition	`batch_69f627aedf548190bc9f53c8a2d67b50`	completed	May 2, 2026, 4:34 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a105d0e0974819083e97eaf0f4c5a39`	completed	May 22, 2026, 1:41 p.m.
NEDg	Description generation	`batch_6a105dd1e43c8190b10f80fbfa0d1b87`	completed	May 22, 2026, 1:44 p.m.
NED2	Entity disambiguation (via description)	`batch_6a105e720558819080a749cd92cd6fc9`	completed	May 22, 2026, 1:47 p.m.
PD	Predicate disambiguation	`batch_69f623a4e1048190bbb8dd1253fdcee9`	completed	May 2, 2026, 4:17 p.m.

Created at: April 18, 2026, 6:31 a.m.