Triple
T10477498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Help Me Make It Through the Night |
E247082
|
entity |
| Predicate | hasClassicStatusIn |
P15010
|
FINISHED |
| Object | country music |
—
|
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: country music | Statement: [Help Me Make It Through the Night, hasClassicStatusIn, country music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClassicStatusIn Context triple: [Help Me Make It Through the Night, hasClassicStatusIn, country music]
-
A.
hasClassicResult
Indicates that an entity is associated with a canonical, established, or traditionally recognized result or outcome.
-
B.
hasStatusIn
chosen
Indicates that an entity holds or is assigned a particular status within a specified context, scope, or system.
-
C.
hasHierarchyIn
Indicates that one entity occupies a higher or lower level within an ordered structure or chain of command relative to another entity in a specified context.
-
D.
hasClass
Indicates that an entity belongs to, is categorized under, or is associated with a particular class or type.
-
E.
hasMembershipBy
Indicates that an entity holds or acquires membership in a group, organization, or program by means of a specified agent, process, or instrument.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509596a088190895199648ccf91a4 |
completed | April 7, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d4fb84bafc8190819757b93620508a |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:21 p.m.