Triple
T25918441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everyday |
E653096
|
entity |
| Predicate | mainHookDescription |
P159565
|
FINISHED |
| Object | catchy repetitive chorus about everyday love |
—
|
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: catchy repetitive chorus about everyday love | Statement: [Everyday, mainHookDescription, catchy repetitive chorus about everyday love]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainHookDescription Context triple: [Everyday, mainHookDescription, catchy repetitive chorus about everyday love]
-
A.
primaryHook
Indicates that one entity serves as the main or principal connection point, attachment, or linkage for another entity within a given structure or system.
-
B.
hookOf
Indicates that one entity functions as a hook or hooking component that is part of, attached to, or used by another entity.
-
C.
helpDescription
Indicates that one entity provides assistance, support, or clarification about another entity or its use.
-
D.
featuresOriginalHookBy
Indicates that an entity (such as a work or recording) includes an original hook created by the specified artist or creator.
-
E.
settingDescription
Indicates the descriptive details or characteristics that define the context or environment in which something occurs.
- 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_69e7ab3e025c819086771607157f0015 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f603e7c6ec8190afd0f94ebeb1c130 |
completed | May 2, 2026, 2:02 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 22, 2026, 8:31 a.m.