Triple
T33787419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rikki Don't Lose That Number |
E865828
|
entity |
| Predicate | hasMusicalQuotation |
P195283
|
FINISHED |
| Object | intro inspired by Horace Silver’s Song for My Father |
—
|
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: intro inspired by Horace Silver’s Song for My Father | Statement: [Rikki Don't Lose That Number, hasMusicalQuotation, intro inspired by Horace Silver’s Song for My Father]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicalQuotation Context triple: [Rikki Don't Lose That Number, hasMusicalQuotation, intro inspired by Horace Silver’s Song for My Father]
-
A.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
B.
hasFictionalSong
Indicates that one entity includes, features, or is associated with a song that is fictional or exists only within a narrative context.
-
C.
hasSongAbout
Indicates that one entity has created, features, or is associated with a song whose subject or theme is about another entity.
-
D.
hasLyricsMentioning
Indicates that the referenced lyrics explicitly mention or refer to the specified entity.
-
E.
hasWittyLyrics
Indicates that the subject contains or is characterized by clever, humorous, or sharply amusing lyrics.
- 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_69f3498ecc2c8190bcd85e3f11dc215e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fdb45537288190b6791078d4a6899f |
completed | May 8, 2026, 10 a.m. |
| PD | Predicate disambiguation | batch_69fdb39ad96481908376d7def9fafc13 |
completed | May 8, 2026, 9:57 a.m. |
| PDg | Predicate description generation | batch_69fdb4544b548190b8971f8055d48caa |
completed | May 8, 2026, 10 a.m. |
Created at: May 1, 2026, 1:45 a.m.