Triple
T36265805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Around the House |
E892216
|
entity |
| Predicate | vocalCollaborator |
P112239
|
FINISHED |
| Object | Dani Siciliano |
—
|
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: Dani Siciliano | Statement: [Around the House, vocalCollaborator, Dani Siciliano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocalCollaborator Context triple: [Around the House, vocalCollaborator, Dani Siciliano]
-
A.
featuresVocalCollaborations
Indicates that the work includes vocal performances by multiple distinct artists collaborating together.
-
B.
musicalCollaborator
Indicates a relationship where two or more entities work together in creating, performing, or producing music.
-
C.
vocalistIn
Indicates that a person serves as a vocalist (singer) in a particular musical group, band, or ensemble.
-
D.
singsWith
chosen
Indicates that two or more entities perform singing together, jointly participating in a vocal musical activity.
-
E.
vocalCounterpartType
Indicates the type or category of a vocal counterpart relationship that one entity has to another (e.g., spoken, sung, dubbed, narrated).
- 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_69f76e4699188190af045b11a840ce31 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:09 p.m.