Triple
T38444672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinéad Lohan |
E906611
|
entity |
| Predicate | hasSongFeaturedIn |
P20452
|
FINISHED |
| Object | Message In A Bottle (1999 film) |
—
|
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: Message In A Bottle (1999 film) | Statement: [Sinéad Lohan, hasSongFeaturedIn, Message In A Bottle (1999 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSongFeaturedIn Context triple: [Sinéad Lohan, hasSongFeaturedIn, Message In A Bottle (1999 film)]
-
A.
hasFeaturedArtist
Indicates that an entity (such as a song or track) includes another artist who appears as a featured performer.
-
B.
featuredOnSong
Indicates that an entity (such as an artist) appears as a guest or secondary contributor on a particular song.
-
C.
hasSong
chosen
Indicates that one entity possesses, features, or includes a particular song.
-
D.
hasSongAbout
Indicates that one entity has created, features, or is associated with a song whose subject or theme is about another entity.
-
E.
coveredSongBy
Indicates that one musical work is a cover version performed or recorded by an artist of a song originally created or popularized by another 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_69f76e72878c8190a692836c8b01b58b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe066d62b48190867df334039be786 |
completed | May 8, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69fe03afde3c8190a5b9b0778d19eb1a |
completed | May 8, 2026, 3:39 p.m. |
Created at: May 3, 2026, 4:31 p.m.