Triple
T34208993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Songs for Sean Kingston |
E877597
|
entity |
| Predicate | hasTargetPerformer |
P112335
|
FINISHED |
| Object | Sean Kingston |
—
|
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: Sean Kingston | Statement: [Songs for Sean Kingston, hasTargetPerformer, Sean Kingston]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTargetPerformer Context triple: [Songs for Sean Kingston, hasTargetPerformer, Sean Kingston]
-
A.
hasLiveActionPerformer
Indicates that a character, role, or entity is portrayed or performed by a specific live-action (real-life) performer.
-
B.
hasPerformerCharacteristic
Indicates that a performer possesses a particular attribute, quality, or characteristic.
-
C.
hasPerformerGivenName
Indicates that a performer is associated with a specific given (first) name.
-
D.
hasTargetedArtistFullName
chosen
Indicates that an entity is associated with the full name of the artist who is the target or subject of a given action or relationship.
-
E.
hasPerformerBackground
Indicates that an entity has a specific background, experience, or history as a performer.
- 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_69f349aff5f0819096275315abea5344 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: May 1, 2026, 1:55 a.m.