Triple
T26355479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Again (Lenny Kravitz music video) |
E663035
|
entity |
| Predicate | complementsThemesOf |
P162
|
FINISHED |
| Object | emotional longing |
—
|
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: emotional longing | Statement: [Again (Lenny Kravitz music video), complementsThemesOf, emotional longing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: complementsThemesOf Context triple: [Again (Lenny Kravitz music video), complementsThemesOf, emotional longing]
-
A.
complements
chosen
Indicates that one entity enhances, completes, or improves another by providing qualities or functions that fit well together.
-
B.
followsInTheme
Indicates that one element continues or succeeds another while maintaining the same theme or thematic context.
-
C.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
D.
themedAs
Indicates that something is characterized, styled, or organized according to a particular theme or motif.
-
E.
reflectsOnTheme
Indicates that one entity critically considers, analyzes, or comments on the theme expressed or embodied by another entity.
- 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_69ee8130fc44819094e5ab1da201cd7b |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 26, 2026, 10:48 p.m.