Triple
T31430424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justice League (2017 film score contributions) |
E801780
|
entity |
| Predicate | incorporatesOrchestralElements |
P35077
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Justice League (2017 film score contributions), incorporatesOrchestralElements, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incorporatesOrchestralElements Context triple: [Justice League (2017 film score contributions), incorporatesOrchestralElements, true]
-
A.
isOrchestral
Indicates that something involves, is written for, or is performed by an orchestra.
-
B.
orchestrationIncludes
Indicates that one orchestration contains, incorporates, or makes use of another orchestration as part of its overall structure or process.
-
C.
hasMelodicOrchestration
Indicates that one entity provides or features the melodic orchestration for, or in association with, another entity.
-
D.
hasOrchestralFeature
chosen
Indicates that something includes, exhibits, or is characterized by a notable orchestral element or component.
-
E.
performedWithOrchestra
Indicates that a performance or musical work was carried out in collaboration with an orchestra.
- 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_69f348c475348190bf579ca858eec77c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 8:57 p.m.