Triple

T31351473

Position	Surface form	Disambiguated ID	Type / Status
Subject	California Stars	`E799600`	entity
Predicate	hasLyricalSource	`P4872`	FINISHED
Object	Woody Guthrie notebooks The Woody Guthrie notebooks are collections of the legendary American folk singer’s handwritten lyrics, ideas, and drafts that have served as source material for later songs and adaptations.	`E1915846`	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: Woody Guthrie notebooks | Statement: [California Stars, hasLyricalSource, Woody Guthrie notebooks]

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: Woody Guthrie notebooks
Triple: [California Stars, hasLyricalSource, Woody Guthrie notebooks]

Generated description

The Woody Guthrie notebooks are collections of the legendary American folk singer’s handwritten lyrics, ideas, and drafts that have served as source material for later songs and adaptations.

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

Target predicate: hasLyricalSource
Context triple: [California Stars, hasLyricalSource, Woody Guthrie notebooks]

A. hasLyricsSource chosen
Indicates that one entity serves as the source or origin of the lyrics associated with another entity.
B. hasLyricalVariant
Indicates that one item has an alternative version that differs in its lyrics while remaining related to the original.
C. hasLyric
Indicates that one entity (typically a musical work or track) contains or is associated with the lyrics provided by another entity.
D. hasLyricalForm
Indicates that one entity (typically a musical or poetic work) possesses or is characterized by a particular lyrical structure or form.
E. lyricalSourceStatus
Indicates the status or condition of a source from which lyrics are obtained or derived.
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_69f224e51614819083141459a080e97c`	completed	April 29, 2026, 3:33 p.m.
NER	Named-entity recognition	`batch_69f6a0ea04888190ac3a813b603bcb5c`	completed	May 3, 2026, 1:12 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a2ad230a2a481909656ad3ef3170b02`	completed	June 11, 2026, 3:20 p.m.
NEDg	Description generation	`batch_6a2ad2c4a4fc819095968c7c101560bd`	completed	June 11, 2026, 3:22 p.m.
NED2	Entity disambiguation (via description)	`batch_6a2ae19005fc8190b169fa734c453179`	completed	June 11, 2026, 4:25 p.m.
PD	Predicate disambiguation	`batch_69f69fe463248190aa78128abeab1183`	completed	May 3, 2026, 1:07 a.m.

Created at: April 29, 2026, 9:17 p.m.