Triple
T31430425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justice League (2017 film score contributions) |
E801780
|
entity |
| Predicate | incorporatesPercussionHeavyActionCues |
P172234
|
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), incorporatesPercussionHeavyActionCues, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incorporatesPercussionHeavyActionCues Context triple: [Justice League (2017 film score contributions), incorporatesPercussionHeavyActionCues, true]
-
A.
percussion
Indicates that an entity produces sound by being struck, shaken, or otherwise hit, as in playing or functioning as a percussion instrument.
-
B.
percussionType
Indicates the specific kind or category of percussion instrument associated with an entity.
-
C.
percussionStyle
Indicates the specific manner or technique in which percussion is played or executed in a given context.
-
D.
percussionFocus
Indicates a focus on playing, studying, or emphasizing percussion instruments or percussion-related activity within a musical context.
-
E.
usesDrums
Indicates that an entity employs drums as instruments or tools in performing an action or carrying out an activity.
- F. None of above. chosen
Provenance (4 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_69f6a9603b208190b3533ea2b441514c |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a915ead881909463ae46419c343e |
completed | May 3, 2026, 1:47 a.m. |
Created at: April 30, 2026, 8:57 p.m.