Triple
T34288276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ontari-ari-ari-o |
E879803
|
entity |
| Predicate | partOfLyricsOf |
P136870
|
FINISHED |
| Object | A Place to Stand |
—
|
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: A Place to Stand | Statement: [Ontari-ari-ari-o, partOfLyricsOf, A Place to Stand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfLyricsOf Context triple: [Ontari-ari-ari-o, partOfLyricsOf, A Place to Stand]
-
A.
lyricallyPairedWith
Indicates that two musical or poetic elements are intentionally matched or combined in lyrics, such as being written to accompany each other or to form a complementary lyrical pair.
-
B.
hasMemorableLyric
Indicates that something (such as a song, verse, or musical piece) contains a lyric that is especially striking, distinctive, or easy to remember.
-
C.
hasLyricsIn
Indicates that the lyrics of a work are written or available in a specified language.
-
D.
appearsInSongBy
chosen
Indicates that an entity is mentioned, referenced, or featured within a song created or performed by a specified artist or musical act.
-
E.
partOfSongCycleBy
Indicates that a song is a component or movement within a larger song cycle created by a specified composer or artist.
- 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_69f349b6df1c81908e5e5b6c2ab6409b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a0041860fd081908623ef9fd40a9775 |
completed | May 10, 2026, 8:27 a.m. |
| PD | Predicate disambiguation | batch_6a00414b01488190a312adb3b25d69cf |
completed | May 10, 2026, 8:26 a.m. |
Created at: May 1, 2026, 1:57 a.m.