Triple
T31369785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night Song (reprise) |
E800123
|
entity |
| Predicate | echoesThemeOf |
P33443
|
FINISHED |
| Object | Night Song |
—
|
NE NERFINISHED |
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: Night Song | Statement: [Night Song (reprise), echoesThemeOf, Night Song]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: echoesThemeOf Context triple: [Night Song (reprise), echoesThemeOf, Night Song]
-
A.
reflectsOnTheme
Indicates that one entity critically considers, analyzes, or comments on the theme expressed or embodied by another entity.
-
B.
echoedIn
chosen
Indicates that a sound, statement, or effect produced in one context is repeated, reflected, or resonated in another context.
-
C.
echoesCity
Indicates that one city reflects, resembles, or mirrors another city in character, atmosphere, or notable features.
-
D.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
E.
echoesNickname
Indicates that one entity repeats, adopts, or mirrors another entity’s nickname.
- 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_69f224e6b7448190ac6bf97ad7364160 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f88eaec8190b96595465b7fa83e |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d1d25e88190a7f57d323574da90 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:18 p.m.