Triple
T33192686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les feuilles mortes |
E849650
|
entity |
| Predicate | EnglishLyricsTitle |
P176164
|
FINISHED |
| Object | Autumn Leaves |
—
|
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: Autumn Leaves | Statement: [Les feuilles mortes, EnglishLyricsTitle, Autumn Leaves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EnglishLyricsTitle Context triple: [Les feuilles mortes, EnglishLyricsTitle, Autumn Leaves]
-
A.
EnglishLyricsBy
Indicates that the associated work has its lyrics written in English by the specified entity.
-
B.
lyricsBy
Indicates that the lyrics of a song or musical work were written or authored by a specified person or entity.
-
C.
lyricExpresses
Indicates that the content or emotion of a lyric conveys, communicates, or articulates a particular idea, feeling, or message.
-
D.
lyricKeyword
Indicates that a lyric is associated with, or can be characterized by, a particular keyword or key phrase.
-
E.
lyricsLanguage
Indicates the language in which the lyrics of a song or musical work are written or performed.
- 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_69f3495e0f108190a6a7006f79f9c2c3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6dd3b335481909e24d4eb5b0269f9 |
completed | May 3, 2026, 5:29 a.m. |
Created at: May 1, 2026, 1:29 a.m.