Triple
T23615926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Right There (Ariana Grande song) |
E583170
|
entity |
| Predicate | castMemberRole |
P151498
|
FINISHED |
| Object | Romeo-like love interest |
—
|
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: Romeo-like love interest | Statement: [Right There (Ariana Grande song), castMemberRole, Romeo-like love interest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: castMemberRole Context triple: [Right There (Ariana Grande song), castMemberRole, Romeo-like love interest]
-
A.
mainCastMemberRole
Indicates that an entity’s role specifies the character or position they portray as a principal member of a production’s main cast.
-
B.
creditedRoleOf
chosen
Indicates that a particular role or position is formally acknowledged as being held or performed by a specific entity in a credit or attribution context.
-
C.
actorRole
Indicates that an entity participates in an event or action in a specific capacity or function (such as performer, initiator, or responsible party).
-
D.
castMemberWith
Indicates that one entity is a cast member appearing together with another specified entity in the same production or work.
-
E.
relatedCastMember
Indicates that two cast members are connected through a relevant relationship, such as working together on the same production or being otherwise professionally associated.
- 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_69e248fbcd9081908ba08913f9d30826 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b174f6d881908416631229598fbb |
completed | April 29, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:45 p.m.