Triple
T33295753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eyes Never Lie |
E852439
|
entity |
| Predicate | hasMemberArtistBackground |
P71697
|
FINISHED |
| Object | Tony! Toni! Toné! |
—
|
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: Tony! Toni! Toné! | Statement: [Eyes Never Lie, hasMemberArtistBackground, Tony! Toni! Toné!]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemberArtistBackground Context triple: [Eyes Never Lie, hasMemberArtistBackground, Tony! Toni! Toné!]
-
A.
hasMemberBackground
chosen
Indicates that an entity has information describing the background or history of one of its members.
-
B.
hasPerformerBackground
Indicates that an entity has a specific background, experience, or history as a performer.
-
C.
associatedWithArtistBackground
Indicates a relationship where something is connected to, derived from, or informed by an artist’s background, such as their personal history, culture, training, or life context.
-
D.
hasAuthorBackgroundIn
Indicates that an author possesses a particular background, such as education, experience, or expertise, in a specified field or domain.
-
E.
hasArtistRole
Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
- 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_69f34966ed4c81908dc9dda82d8c7fe3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fecd0a732c819097bdd3eb69b6158c |
completed | May 9, 2026, 5:58 a.m. |
| PD | Predicate disambiguation | batch_69fecc0318d481908b5b20598a76a9fe |
completed | May 9, 2026, 5:54 a.m. |
Created at: May 1, 2026, 1:33 a.m.