Triple
T38138943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Save the Life of My Child |
E952425
|
entity |
| Predicate | containsMusicalQuotation |
P195283
|
FINISHED |
| Object | The Sound of Silence |
E243064
|
NE 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: The Sound of Silence | Statement: [Save the Life of My Child, containsMusicalQuotation, The Sound of Silence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsMusicalQuotation Context triple: [Save the Life of My Child, containsMusicalQuotation, The Sound of Silence]
-
A.
hasMusicalQuotation
chosen
Indicates that one musical work explicitly incorporates a recognizable passage or motif from another musical work.
-
B.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
C.
hasLyricsMentioning
Indicates that the referenced lyrics explicitly mention or refer to the specified entity.
-
D.
isSpokenOrSung
Indicates that something (such as text, lyrics, or dialogue) is produced vocally, either by speaking or by singing.
-
E.
usesLyricalElementsFrom
Indicates that one work incorporates or borrows lyrical components (such as words, phrases, or stylistic features) from another work.
- F. None of above.
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_69f76f09a7148190a4b91c0bacdc127a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a020243e2b4819086dbfdcf4372405e |
completed | May 11, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41e00ec4c4819094c092a837133255 |
completed | June 29, 2026, 3:01 a.m. |
| PD | Predicate disambiguation | batch_6a0200f585bc8190b774c54cec409b00 |
completed | May 11, 2026, 4:16 p.m. |
Created at: May 3, 2026, 4:21 p.m.