Triple
T32451251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nice To Have |
E829289
|
entity |
| Predicate | hasMusicalArtistRealName |
P145684
|
FINISHED |
| Object | Danielle Balbuena |
—
|
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: Danielle Balbuena | Statement: [Nice To Have, hasMusicalArtistRealName, Danielle Balbuena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicalArtistRealName Context triple: [Nice To Have, hasMusicalArtistRealName, Danielle Balbuena]
-
A.
musicalArtistRealName
chosen
Indicates that a musical artist is known in real life by a particular personal or legal name.
-
B.
hasMusicalAlias
Indicates that an entity is known or performs under an alternative musical name or stage name.
-
C.
hasArtistLegalName
Indicates that an artist entity is associated with a specific legal (real) name used for official or formal purposes.
-
D.
hasArtistCurrentName
Indicates that the specified name is the artist’s current, officially used name.
-
E.
musicalArtistName
Indicates that the predicate specifies the name of a musical artist associated with an 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_69f3491d2e5c819092b1c9535beff8ec |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd44474ed48190ac372e4c88d762ed |
completed | May 8, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69fd41ef28a48190a66959be5c964461 |
completed | May 8, 2026, 1:52 a.m. |
Created at: May 1, 2026, 12:56 a.m.