Triple
T31301417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sad Beautiful Tragic |
E798222
|
entity |
| Predicate | hasTitlePhraseInLyrics |
P85363
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Sad Beautiful Tragic, hasTitlePhraseInLyrics, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitlePhraseInLyrics Context triple: [Sad Beautiful Tragic, hasTitlePhraseInLyrics, yes]
-
A.
hasLyricPhrase
chosen
Indicates that one entity (typically a song or musical work) contains or is associated with a specific lyric phrase as part of its textual content.
-
B.
hasLyricsIn
Indicates that the lyrics of a work are written or available in a specified language.
-
C.
isTitleCharacterOfSong
Indicates that a character is mentioned in or constitutes the title of a specific song.
-
D.
hasLyricsMentioning
Indicates that the referenced lyrics explicitly mention or refer to the specified entity.
-
E.
hasSongTitle
Indicates that an entity (such as a song or musical work) bears or is associated with a specific song title.
- 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: April 29, 2026, 9:14 p.m.