Triple
T24682300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Livingston Seagull (orchestration) |
E611171
|
entity |
| Predicate | hasArrangerCredit |
P105966
|
FINISHED |
| Object | Lee Holdridge |
—
|
NE NERFINISHED |
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: Lee Holdridge | Statement: [Jonathan Livingston Seagull (orchestration), hasArrangerCredit, Lee Holdridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArrangerCredit Context triple: [Jonathan Livingston Seagull (orchestration), hasArrangerCredit, Lee Holdridge]
-
A.
hasArranger
Indicates that one entity serves as the arranger (e.g., musically or structurally) for another entity, such as a work, performance, or composition.
-
B.
hasArrangerBackground
Indicates that an entity has a background or experience in musical arranging.
-
C.
artistNameCredit
Indicates that a specific artist is credited by name for their contribution to a work or production.
-
D.
notableArrangementOf
Indicates that one entity is a significant or noteworthy configuration, ordering, or spatial organization of the other entity.
-
E.
musicOrchestratedBy
chosen
Indicates that a piece of music or musical work is arranged or orchestrated by a specific person or entity.
- F. None of above.
Provenance (3 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_69e2c4d5c2dc8190ac857dea25ec6ce9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:15 a.m.