Triple
T35333087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talkin' to You (Her) |
E1020378
|
entity |
| Predicate | albumArtistGender |
P20803
|
FINISHED |
| Object | female |
—
|
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: female | Statement: [Talkin' to You (Her), albumArtistGender, female]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: albumArtistGender Context triple: [Talkin' to You (Her), albumArtistGender, female]
-
A.
hasPerformerGender
chosen
Indicates that an action, event, or performance is associated with the gender of the performer who carries it out.
-
B.
artistOf
Indicates that one entity is the creator or performer responsible for producing a particular work or piece.
-
C.
hasFemaleArtists
Indicates that the subject includes, features, or is associated with one or more female artists.
-
D.
featuresArtistAgeCategory
Indicates that the relationship specifies the age-based category or age group classification associated with an artist.
-
E.
producerArtist
Indicates that one entity serves as the producer (e.g., overseeing or managing the creation) of a work created or performed by the artist entity.
- 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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79533b88c8190934ec4cb21770e24 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.