Triple
T20407805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girlfriend |
E500515
|
entity |
| Predicate | definingSongOfArtistCareer |
P127261
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Girlfriend, definingSongOfArtistCareer, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definingSongOfArtistCareer Context triple: [Girlfriend, definingSongOfArtistCareer, true]
-
A.
definingSongOf
chosen
Indicates that a particular song is regarded as the most characteristic, iconic, or representative piece associated with a given artist, group, or context.
-
B.
musicCareer
Indicates that an entity has a professional involvement or trajectory in the field of music, such as performing, composing, or producing as an occupation.
-
C.
significantPlaceInArtistCareer
Indicates that a place played an important or influential role in the course of an artist's professional career.
-
D.
timeInArtistCareer
Indicates the point or period within an artist’s professional career at which a given event, work, or activity occurs.
-
E.
isInGenreOfArtistCareer
Indicates that an artist’s career belongs to or is categorized within a particular artistic genre.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67993dc7081908ebd54ec92e712ea |
completed | April 20, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:29 a.m.