Triple
T34192524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lea Salonga (1993 album) |
E877147
|
entity |
| Predicate | hasLoveSong |
P20452
|
FINISHED |
| Object | We Could Be in Love |
—
|
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: We Could Be in Love | Statement: [Lea Salonga (1993 album), hasLoveSong, We Could Be in Love]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLoveSong Context triple: [Lea Salonga (1993 album), hasLoveSong, We Could Be in Love]
-
A.
isLoveSong
Indicates that a song’s primary theme or content centers on romantic love or affectionate emotional relationships.
-
B.
hasSong
chosen
Indicates that one entity possesses, features, or includes a particular song.
-
C.
hasSongAbout
Indicates that one entity has created, features, or is associated with a song whose subject or theme is about another entity.
-
D.
hasRomanticLyrics
Indicates that the subject contains or features lyrics expressing romantic feelings, themes, or relationships.
-
E.
hasSpecialSong
Indicates that one entity possesses or is associated with a particular song that is unique, distinctive, or specially designated for it.
- 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_69f349af20a4819089ac24d28f2d8112 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fed09a12648190affcd9bacf7ca275 |
completed | May 9, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69fecf91d6f481908deb60c965c433ed |
completed | May 9, 2026, 6:09 a.m. |
Created at: May 1, 2026, 1:55 a.m.