Triple
T38444654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinéad Lohan |
E906611
|
entity |
| Predicate | genreOfAlbum |
P26242
|
FINISHED |
| Object | Who Do You Think I Am: folk-pop |
—
|
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: Who Do You Think I Am: folk-pop | Statement: [Sinéad Lohan, genreOfAlbum, Who Do You Think I Am: folk-pop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfAlbum Context triple: [Sinéad Lohan, genreOfAlbum, Who Do You Think I Am: folk-pop]
-
A.
genreOfRecordedWork
Indicates that a recorded work (such as a song, album, or audio piece) belongs to a particular artistic or musical genre.
-
B.
albumGenre
chosen
Indicates that a musical album belongs to or is categorized under a particular genre.
-
C.
genreOfAssociatedMusic
Indicates the type or category of music that is associated with a given entity.
-
D.
genreOfAssociatedPerson
Indicates that a particular genre is associated with a given person, such as an artist, author, or performer.
-
E.
genreIncludes
Indicates that a broader genre category encompasses or contains a specified subgenre or work as part of its classification.
- 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_69fcce7afcd08190906cc3801152656a |
completed | May 7, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69fcccf140ec8190862d53388a5f40d7 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.