Triple
T14018826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spooky |
E337270
|
entity |
| Predicate | isPopularMusicStandard |
P112500
|
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: [Spooky, isPopularMusicStandard, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPopularMusicStandard Context triple: [Spooky, isPopularMusicStandard, true]
-
A.
isPopularMusic
Indicates that the subject is a type of music that enjoys widespread appeal or mainstream popularity among listeners.
-
B.
isPopularStandard
Indicates that something is widely accepted, commonly used, and recognized as a prevailing or de facto standard.
-
C.
isPopularSong
Indicates that a song is widely liked, well-known, or frequently listened to by many people.
-
D.
isPopularSongOf
Indicates that a song is widely liked, well-known, or frequently enjoyed in relation to a particular entity (such as an artist, album, or context).
-
E.
isPopularSongFrom
Indicates that a song is widely liked, well-known, or frequently played and originates from a particular source, such as an artist, album, or media work.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3b5b088190a58715779d2c46a6 |
completed | April 14, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69de05a802ac819090604025aae6a4d5 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239524688190a0f2408c239cfcaa |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:19 p.m.