Triple

T23522610

Position	Surface form	Disambiguated ID	Type / Status
Subject	Weather Report Suite	`E574547`	entity
Predicate	hasSubsequence	`P128058`	FINISHED
Object	Prelude Prelude is the opening instrumental section of the Grateful Dead’s multi-part composition “Weather Report Suite,” setting the atmospheric and melodic foundation for the piece.	`E556274`	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: Prelude | Statement: [Weather Report Suite, hasSubsequence, Prelude]

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: Prelude
Triple: [Weather Report Suite, hasSubsequence, Prelude]

Generated description

Prelude is the opening instrumental section of the Grateful Dead’s multi-part composition “Weather Report Suite,” setting the atmospheric and melodic foundation for the piece.

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

Target predicate: hasSubsequence
Context triple: [Weather Report Suite, hasSubsequence, Prelude]

A. isSubsequenceOf
Indicates that one sequence can be derived from another by deleting zero or more elements without changing the order of the remaining elements.
B. hasSubsequent
Indicates that one entity occurs, appears, or is positioned after another in a defined sequence or order.
C. requiresSubSequenceConstraint chosen
Indicates that one element must occur as a subsequence within another, enforcing an ordered containment constraint between them.
D. hasSubset
Indicates that one set is entirely contained within another set, with all elements of the first set also belonging to the second.
E. hasTypicalSequence
Indicates that there is a usual or commonly occurring order or progression in which the related entities or events take place.
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_69e245bb3dcc8190ba9a2b35972b58d0`	completed	April 17, 2026, 2:37 p.m.
NER	Named-entity recognition	`batch_69f1ac70b7888190b4abc4f78bdf539c`	completed	April 29, 2026, 7 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0f4555ff7c8190a956603a19145efd`	completed	May 21, 2026, 5:48 p.m.
NEDg	Description generation	`batch_6a0f4732991c819090acd6744f1b5cd5`	completed	May 21, 2026, 5:56 p.m.
NED2	Entity disambiguation (via description)	`batch_6a0f47edf76c819083722440930ae47c`	completed	May 21, 2026, 5:59 p.m.
PD	Predicate disambiguation	`batch_69f1189d75b48190a1c01928a993c9fb`	completed	April 28, 2026, 8:29 p.m.

Created at: April 17, 2026, 6:08 p.m.