Triple
T31316322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electric Touch (feat. Fall Out Boy) (Taylor’s Version) [From the Vault] |
E798606
|
entity |
| Predicate | hasVaultTag |
P172216
|
FINISHED |
| Object | From the Vault |
—
|
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: From the Vault | Statement: [Electric Touch (feat. Fall Out Boy) (Taylor’s Version) [From the Vault], hasVaultTag, From the Vault]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVaultTag Context triple: [Electric Touch (feat. Fall Out Boy) (Taylor’s Version) [From the Vault], hasVaultTag, From the Vault]
-
A.
hasVaultType
Indicates that an entity is associated with or classified by a particular type or category of vault.
-
B.
hasVaultStatus
Indicates that an entity possesses a particular vault-related state or condition, such as being stored in, protected by, or associated with a vault.
-
C.
hasGoldVault
Indicates that one entity possesses or contains a vault specifically used for storing gold.
-
D.
vaultContains
Indicates that a vault holds, stores, or includes a particular item or set of items within it.
-
E.
hasTaxonomyTag
Indicates that an entity is associated with a specific taxonomy tag used for classification or categorization.
- 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_69f224e1932c81908fef14f7b03a10b7 |
completed | April 29, 2026, 3:33 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 29, 2026, 9:15 p.m.